A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://downloads.hindawi.com/journals/cin/2021/6819493.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Filters
Evaluation Model of Physical Education Effect: On the Application of Radial Basis Function-Particle Swarm Optimization Neural Network (RBFNN-PSO)
<span title="2021-07-30">2021</span>
<i title="Hindawi Limited">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a>
</i>
Preserved Fulltext
This study constructs a new radial basis function-particle swarm optimization neural network (RBFNN-PSO) system, which is applied to the evaluation system of physical education teaching effect. ...
In order to verify the evaluation performance of the RBFNN-PSO system, the traditional RBF neural network system is used as the control, and the training is carried out. ...
Acknowledgments is work was supported by the Nanjing University of Information Science and Technology. ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6819493">doi:10.1155/2021/6819493</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dk335kjgvng4hck734sdmxqj6m">fatcat:dk335kjgvng4hck734sdmxqj6m</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210804004615/https://downloads.hindawi.com/journals/cin/2021/6819493.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/70/e4707ed69c91659c418a1286113ffdfcbebe09e2.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6819493">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
hindawi.com
</button>
</a>
On hybrid intelligence-based control approach with its application to flexible robot system
<span title="2017-01-27">2017</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7vmvy44msfazpg7esvwjkcglla" style="color: black;">Human-Centric Computing and Information Sciences</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/0a8/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczEzNjczLTAxNy0wMDg2LTUucGRm.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
This field leads to provide the combination of methods that can be used to represent a set of complex systems in modeling of which is impossible or very hard by applying computational regulations of pure ...
mathematics and hard logic to them, whilst the applicable simulations and practical implementations may be conducted by using the soft computing techniques. ...
The radial based function neural network training In the radial based function neural network (RBFNN) training, the center and the width of the Gaussian function is kept constant, in order to generate ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13673-017-0086-5">doi:10.1186/s13673-017-0086-5</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xfrlt7sglfaxrdm6n3swcu535u">fatcat:xfrlt7sglfaxrdm6n3swcu535u</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171008161920/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/0a8/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczEzNjczLTAxNy0wMDg2LTUucGRm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/01/ed/01edf7fe094b2dda0dac9160ff85f8f24526de81.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13673-017-0086-5">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
springer.com
</button>
</a>
A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
<span title="">2021</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n5qql4thwzfabg3mmrkliwx42e" style="color: black;">Alexandria Engineering Journal</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://pdf.sciencedirectassets.com/270704/AIP/1-s2.0-S111001682100346X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEIb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCtmBlkBJRW9bmXYLPLsdilLpRP8dOy547rxiUmp2%2FFyAIgEOZ9rC3EKWo%2BeEQd8pfIZqq%2FMcDI5nFrYxNsNYALKigq%2BgMIPhAEGgwwNTkwMDM1NDY4NjUiDNrOTWHGlAOX2ibpWirXAypjOwR6ah5oqEnG097YzAirwJ4%2F8ci%2ByrJmh2%2FBQaXImtrayJLU8ndIS9pNz0Mcrw99Cm46FmZc78jXB0MgMFbDzUW8xTPFw%2Bo4gVsAR9wx7awuaaSWI6PH4iG7GbPxFpY%2FjwhAzylFfpgdWUq1Q3l6f%2Fntaa8DZq0F7os1MlHSIaoUJvNTmCLiK%2Fk56XhB%2Fekj4JRrbofJ4IvMhcu8VnLXdOR3THrvxCiwPKHkzmfUlfrpHwuts1sWNg0eSexLtsRqkHvNldXC%2FHftqknZ7XUgNbJmNHqcyzIItltiFUbZKwgMdsRBJqPwKaxzb7N8Lmmp0egj5Y4CiC4UDikSmQt2ueCp%2BtKX7Hw9LO9b4KwyS3Zkd0P5qWZpXnsfEO3OuJpNx72q%2Fo5e8vgR%2Bo4L%2BOGucbCwht5vwHB6N9K4cUojHmeAUNmOpAdNN0eAXMQPsr49CiJd7T1UDekNDVhCc4sHq9GXwlhpuVRd%2F7cfN6194jgty8Dh%2FyXFrx6aZhdCU2iK%2BCQfUd6sdcp1KUH8ErKIfmcBDlPmx%2BGaeJNqQFagG0wRzY7pn0lANpfgucVmb8YL%2F07%2FQa6BCK%2Fpru1DAhIRZfdRdtQjBRgYxZpW9Rl47XyF%2B6zH%2BTDFtPGFBjqlAbwqDt5z9neMZC6X42SBCXgihE1jEuvVvT20l6saxWyZVrDZRDd12O64zBlfcSbrEGFFunN1oWMPnVuceTha3gIRV1mXmcimNcITKEojaQ6W6exzMlkHpJp4gSASPmBrPt5zFgBffXhPuEHwWtSKNLThgtORGfCX6NrJJUnISzfClVmOhOXSGi1Qt%2B0lK%2BC4c7e6uuNH9uljJLkbtmb%2FdvnTc8xz9Q%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20210606T054442Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYRDDAJNOU%2F20210606%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=70c4063dff760181fd1e2b8acb3a125dce53321ecc8f274709702451688b3411&hash=2c5db124216dba15b3ba66e743cb10e2d5ec8e5b5c8e183cda55cbad09c2b4c6&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S111001682100346X&tid=spdf-48e47e11-9ee9-4fe3-8f66-b7f83d2120ef&sid=21e56506205967487c591891130ba71df9d5gxrqa&type=client">the original URL</a>. The file type is <code>application/pdf</code>.
One of the most important aspects of all this is the forecasting of streamflows. ...
Nevertheless, AI models are also required to be optimized in tandem to achieve the best result, leading thus to the desirous forming of hybrid models between a standalone AI model and optimization techniques ...
A Radial Basis Function neural network (RBFNN) was proposed to forecast streamflow. ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.aej.2021.04.100">doi:10.1016/j.aej.2021.04.100</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fppujuentje67dekhgnfe5qt3y">fatcat:fppujuentje67dekhgnfe5qt3y</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210606054448/https://pdf.sciencedirectassets.com/270704/AIP/1-s2.0-S111001682100346X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEIb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCtmBlkBJRW9bmXYLPLsdilLpRP8dOy547rxiUmp2%2FFyAIgEOZ9rC3EKWo%2BeEQd8pfIZqq%2FMcDI5nFrYxNsNYALKigq%2BgMIPhAEGgwwNTkwMDM1NDY4NjUiDNrOTWHGlAOX2ibpWirXAypjOwR6ah5oqEnG097YzAirwJ4%2F8ci%2ByrJmh2%2FBQaXImtrayJLU8ndIS9pNz0Mcrw99Cm46FmZc78jXB0MgMFbDzUW8xTPFw%2Bo4gVsAR9wx7awuaaSWI6PH4iG7GbPxFpY%2FjwhAzylFfpgdWUq1Q3l6f%2Fntaa8DZq0F7os1MlHSIaoUJvNTmCLiK%2Fk56XhB%2Fekj4JRrbofJ4IvMhcu8VnLXdOR3THrvxCiwPKHkzmfUlfrpHwuts1sWNg0eSexLtsRqkHvNldXC%2FHftqknZ7XUgNbJmNHqcyzIItltiFUbZKwgMdsRBJqPwKaxzb7N8Lmmp0egj5Y4CiC4UDikSmQt2ueCp%2BtKX7Hw9LO9b4KwyS3Zkd0P5qWZpXnsfEO3OuJpNx72q%2Fo5e8vgR%2Bo4L%2BOGucbCwht5vwHB6N9K4cUojHmeAUNmOpAdNN0eAXMQPsr49CiJd7T1UDekNDVhCc4sHq9GXwlhpuVRd%2F7cfN6194jgty8Dh%2FyXFrx6aZhdCU2iK%2BCQfUd6sdcp1KUH8ErKIfmcBDlPmx%2BGaeJNqQFagG0wRzY7pn0lANpfgucVmb8YL%2F07%2FQa6BCK%2Fpru1DAhIRZfdRdtQjBRgYxZpW9Rl47XyF%2B6zH%2BTDFtPGFBjqlAbwqDt5z9neMZC6X42SBCXgihE1jEuvVvT20l6saxWyZVrDZRDd12O64zBlfcSbrEGFFunN1oWMPnVuceTha3gIRV1mXmcimNcITKEojaQ6W6exzMlkHpJp4gSASPmBrPt5zFgBffXhPuEHwWtSKNLThgtORGfCX6NrJJUnISzfClVmOhOXSGi1Qt%2B0lK%2BC4c7e6uuNH9uljJLkbtmb%2FdvnTc8xz9Q%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20210606T054442Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYRDDAJNOU%2F20210606%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=70c4063dff760181fd1e2b8acb3a125dce53321ecc8f274709702451688b3411&hash=2c5db124216dba15b3ba66e743cb10e2d5ec8e5b5c8e183cda55cbad09c2b4c6&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S111001682100346X&tid=spdf-48e47e11-9ee9-4fe3-8f66-b7f83d2120ef&sid=21e56506205967487c591891130ba71df9d5gxrqa&type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/09/ca096c19a0032474a14be5074a7af6b2b64c16d4.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.aej.2021.04.100">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
elsevier.com
</button>
</a>
Chaos Adaptive Particle Swarm for Physical Exercise Health Assessment
<span title="2022-02-28">2022</span>
<i title="Hindawi Limited">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xytabl7eh5a5lle2ofnetovd7u" style="color: black;">Computational and Mathematical Methods in Medicine</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit <a rel="external noopener" href="https://downloads.hindawi.com/journals/cmmm/2022/2474951.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Based on the PSO algorithmic rule to make optimal the RBFNN example, an amended order of nonlinear adaptable laziness power supported on the contest of population variegation is intended to extend the ...
Particle crowd algorithmic rule is a mayor examination hotspot in the authentic optimization algorithmic rule respond. ...
Among them, the more extensive utility once is radial basis function neural network (RBFNN), KNN standard, etc. [5, 6] . RBFNN is suitable for tyrannical-precision approach problems. ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/2474951">doi:10.1155/2022/2474951</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35265167">pmid:35265167</a>
<a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8901310/">pmcid:PMC8901310</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4k5mk47vdna4bcdjtgyn7b7sjm">fatcat:4k5mk47vdna4bcdjtgyn7b7sjm</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220425105852/https://downloads.hindawi.com/journals/cmmm/2022/2474951.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/d2/c1d22903c43ab96c7c95c7069b09a0573b6ae049.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/2474951">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
hindawi.com
</button>
</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901310" title="pubmed link">
<button class="ui compact blue labeled icon button serp-button">
<i class="file alternate outline icon"></i>
pubmed.gov
</button>
</a>
Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques
<span title="2015-06-23">2015</span>
<i title="Public Library of Science (PLoS)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0129363&type=printable">the original URL</a>. The file type is <code>application/pdf</code>.
Since artificial neural network (ANN) and particle swarm optimisation (PSO) techniques have never been used in the previously reported work, this work proposes a combination of ANN and various PSO techniques ...
The effectiveness of various PSO techniques in combination with ANN is validated by comparison with the results from the actual fault diagnosis, an existing diagnosis method and ANN alone. ...
Acknowledgments The authors thank the Malaysian Ministry of Education and University of Malaya, Malaysia for supporting this work through HIR research grant (grant no.: H-16001-D00048). ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0129363">doi:10.1371/journal.pone.0129363</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26103634">pmid:26103634</a>
<a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4478012/">pmcid:PMC4478012</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gqflpwrvf5ddzbxas5v3qljeam">fatcat:gqflpwrvf5ddzbxas5v3qljeam</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171010225905/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0129363&type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/ac/77ac137e9551a31c4d9a00e378f50b6dfeffc92e.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0129363">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
plos.org
</button>
</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478012" title="pubmed link">
<button class="ui compact blue labeled icon button serp-button">
<i class="file alternate outline icon"></i>
pubmed.gov
</button>
</a>
Modern Soft-Sensing Modeling Methods for Fermentation Processes
<span title="2020-03-23">2020</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://res.mdpi.com/d_attachment/sensors/sensors-20-01771/article_deploy/sensors-20-01771.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
The optimization techniques used for the estimation of model parameters such as particle swarm optimization algorithm, ant colony optimization, artificial bee colony, cuckoo search algorithm, and genetic ...
The data-driven methods used for the soft-sensing modeling such as support vector machine, multiple least square support vector machine, neural network, deep learning, fuzzy logic, probabilistic latent ...
Analysis
PSO
Particle Swarm Optimization
IPSO
Improved Particle Swarm Optimization
Table A1 . ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20061771">doi:10.3390/s20061771</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32210053">pmid:32210053</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cicbldmt7jh3jcsomemjqbhrvi">fatcat:cicbldmt7jh3jcsomemjqbhrvi</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200325232515/https://res.mdpi.com/d_attachment/sensors/sensors-20-01771/article_deploy/sensors-20-01771.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/51/6e5148421a0f13b5bb2356074e3f202a1124a847.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20061771">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
mdpi.com
</button>
</a>
Review of Soft Computing Models in Design and Control of Rotating Electrical Machines
<span title="2019-03-18">2019</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2yvk5xhdnhpxjnk6yd33uudqq" style="color: black;">Energies</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="https://res.mdpi.com/energies/energies-12-01049/article_deploy/energies-12-01049-v2.pdf?filename=&attachment=1">the original URL</a>. The file type is <code>application/pdf</code>.
This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. ...
Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines ...
S-transform-ANFIS, S-transform-radial basis function neural network (RBFNN), S-transform-FFNN, and DWT-RBFNN were compared in terms of accuracy, sensitivity and specificity for IR faulty condition, centered ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en12061049">doi:10.3390/en12061049</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m2kcstyncbfdnbwur7mtqsucsa">fatcat:m2kcstyncbfdnbwur7mtqsucsa</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503201849/https://res.mdpi.com/energies/energies-12-01049/article_deploy/energies-12-01049-v2.pdf?filename=&attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/9e/759e1bf69c54d508528ef84428f6840a1d25c515.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en12061049">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
mdpi.com
</button>
</a>
An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems
<span title="">2009</span>
<i title="Inderscience Publishers">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dutlrlw2wjf6jdjcglimpgoqci" style="color: black;">European Journal of Industrial Engineering</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://w3.gazi.edu.tr/~hgokcen/tr/Dereli.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
One of the main objectives is to find acceptable solutions to Public Service Problems (PSPs) within an affordable period of time. ...
The importance of studying public service systems and finding robust solutions to the problems encountered in public service management has increased considerably over the past decade. ...
Thanks for proofreading of the manuscript go to Alexandra Sprano and Alptekin Durmuşoglu. ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ejie.2009.027034">doi:10.1504/ejie.2009.027034</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxp2al7lkzgabk7e3qsvh7lqyy">fatcat:sxp2al7lkzgabk7e3qsvh7lqyy</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809090059/http://w3.gazi.edu.tr/~hgokcen/tr/Dereli.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/50/98/5098ebbd259331b8205947ea1c74efee0d783b47.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ejie.2009.027034">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
Publisher / doi.org
</button>
</a>
A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering
<span title="2021-01-11">2021</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://res.mdpi.com/d_attachment/sensors/sensors-21-00463/article_deploy/sensors-21-00463-v2.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Various existing works in the literature on the usage of AI-based models for the abovementioned applications of construction and maintenance are presented along with their advantages, limitations, and ...
Hence, in this first-of-its-kind state-of-the-art review, the capability of various artificial intelligence (AI)-based models toward accurate prediction and estimation of preliminary construction cost, ...
The authors in [70] hybridized AI-based support vector regression (SVR) and particle swarm optimization (PSO) for the prediction of soil shear strength. ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21020463">doi:10.3390/s21020463</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33440731">pmid:33440731</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sd6oqkk4qbc3vcpgjrwjziiueu">fatcat:sd6oqkk4qbc3vcpgjrwjziiueu</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210226214708/https://res.mdpi.com/d_attachment/sensors/sensors-21-00463/article_deploy/sensors-21-00463-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/a1/47/a147f2e6ee24ec2fc4915333c616b9ad5f964692.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21020463">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
mdpi.com
</button>
</a>
Forecasting CO2 Emissions in China's Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis
<span title="2019-03-03">2019</span>
<i title="Hindawi Limited">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mpvjgetepvhpfhxtgwccfobsry" style="color: black;">Journal of Energy</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="http://downloads.hindawi.com/journals/jen/2019/8275491.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
This article introduces a novel prediction model, in which the weighted algorithm is combined with Elman neural network (ENN) optimized by Adaptive Boosting algorithm (Adaboost) for evaluating future CO2 ...
On this basis, we employ scenario analysis to predict future trend of CO2 emissions in China's construction industry. ...
To overcome the limitations of mathematical methods, lots of researches have focused on AI, such as BP neural network (BPNN) [19] , radical basis function neural network (RBFNN) [20] , Elman neural network ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/8275491">doi:10.1155/2019/8275491</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o6ywf3e2dzhdbnha7o4i6uloqq">fatcat:o6ywf3e2dzhdbnha7o4i6uloqq</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505133651/http://downloads.hindawi.com/journals/jen/2019/8275491.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/33/8c33015e950c5bf0451a5db912ee5d1859dc1317.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/8275491">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
hindawi.com
</button>
</a>
Forecasting the wind power generation in China by seasonal grey forecasting model based on collaborative optimization
<span title="2021-09-07">2021</span>
<i title="EDP Sciences">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/inei2pvlvnaw7lwfzvf7meb67e" style="color: black;">Reserche operationelle</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://www.rairo-ro.org/articles/ro/pdf/forth/ro210099.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
On the other hand, based on the optimization of fractional order and initial value, the collaborative optimization of trend and season is realized. ...
On the one hand, the model is based on moving average filtering algorithm to realize the recognition of seasonal and trend features. ...
Acknowledgments This work is partially funded by the Humanities and Social Science Foundation of the Ministry of Education (18YJA630088) and the Fundamental Research Funds for the Central Universities ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/ro/2021136">doi:10.1051/ro/2021136</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bb5ainfmf5cu5ac5nlppvvjlzm">fatcat:bb5ainfmf5cu5ac5nlppvvjlzm</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210914142726/https://www.rairo-ro.org/articles/ro/pdf/forth/ro210099.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/83/d6/83d67b23b662ebb5763738413aa525057d2e50c1.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/ro/2021136">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
Publisher / doi.org
</button>
</a>
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey
[article]
<span title="2019-01-23">2019</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://arxiv.org/pdf/1901.07947v1.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Other Versions
<span title="2019-07-18">2019</span>
<span class="release-stage">accepted</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.07947v2">arXiv:1901.07947v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/byytjldtbzhf5ict65rjpoi6oi">fatcat:byytjldtbzhf5ict65rjpoi6oi</a> </span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.07947v2">arXiv:1901.07947v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/byytjldtbzhf5ict65rjpoi6oi">fatcat:byytjldtbzhf5ict65rjpoi6oi</a> </span>
Then, by adopting a bottom-up approach, we examine existing work on machine learning for the IoT at the physical, data-link and network layer of the protocol stack. ...
This work provides a comprehensive survey of the state of the art in the application of machine learning techniques to address key problems in IoT wireless communications with an emphasis on its ad hoc ...
earlier in Section 2.2.2 can be used as an activation function and doing so give rise to the radial basis function neural network (RBFNN) [29] . ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.07947v1">arXiv:1901.07947v1</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6bimplspw5cjhofhdbrhiwkauq">fatcat:6bimplspw5cjhofhdbrhiwkauq</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908061355/https://arxiv.org/pdf/1901.07947v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/0d/e4/0de465b304bb7c9b01742bc7c882f27fb3cbc1d5.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.07947v1" title="arxiv.org access">
<button class="ui compact blue labeled icon button serp-button">
<i class="file alternate outline icon"></i>
arxiv.org
</button>
</a>
A Review of Machine Learning Approaches to Power System Security and Stability
<span title="">2020</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://ieeexplore.ieee.org/ielx7/6287639/8948470/09121208.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
In the literature, various MLTs such as artificial neural networks (ANN), Decision Tree (DT), support vector machines (SVM) have been proposed, resulting in effective decision making and control actions ...
In recent times, machine learning techniques (MLTs) have proven to be effective in numerous applications including power system studies. ...
Neural Network (PNN) [23] , [68] - [70] , Feed Forward Neural Network (FFNN) [51] , [61] , Radial basis function network (RBFNN) [63] , [67] and deep neural networks such as Convolutional Neural ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3003568">doi:10.1109/access.2020.3003568</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/liy2h3z43rcafo63jenwpsue4y">fatcat:liy2h3z43rcafo63jenwpsue4y</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429062552/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09121208.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/1b/1f/1b1f747e5bc30dd2588df2443bfce4447e630bd7.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3003568">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
ieee.com
</button>
</a>
Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target
[chapter]
<span title="">2012</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyopc6cf5ze5vipjlm4aztcffi" style="color: black;">Communications in Computer and Information Science</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="http://pdfs.semanticscholar.org/3c0a/0c18380f47fffa1e32fd83665d369f1584be.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
According to these features, a four-layer architecture is proposed which consists of Physical Layer, Network Layer, Co-processing Layer and Application Layer. ...
Based on system virtualization technology and software routing methods, the platform has the function of real network infrastructure, can build the target network according to simulation task rapidly. ...
a RBFNN(Radial Base Function Neural Network) observer is designed to solve the problems. ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-34384-1_2">doi:10.1007/978-3-642-34384-1_2</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xvp3o6agk5hxpmbjptnthxiz5m">fatcat:xvp3o6agk5hxpmbjptnthxiz5m</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222195153/http://pdfs.semanticscholar.org/3c0a/0c18380f47fffa1e32fd83665d369f1584be.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/0a/3c0a0c18380f47fffa1e32fd83665d369f1584be.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-34384-1_2">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
springer.com
</button>
</a>
Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review
<span title="">2021</span>
<i title="Royal Society of Chemistry (RSC)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x53acaeagzch5bcrtlny7my2bq" style="color: black;">Energy & Environmental Science</a>
</i>
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://pubs.rsc.org/en/content/articlepdf/2021/ee/d1ee02395k">the original URL</a>. The file type is <code>application/pdf</code>.
Carbon Capture Utilisation and Storage (CCUS) will play a critical role in future decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of climate change. ...
Additionally, several evolutionary algorithms were employed to optimise the control parameters of the neural networks, namely the Levenberg-Marquardt (LM) algorithm, GA, particle swarm optimization (PSO ...
algorithm (GA), particle swarm optimization (PSO), simulated annealing, and ant colony and so on have been used in descriptor selection step to reduce the number of descriptors and keep the most influential ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1039/d1ee02395k">doi:10.1039/d1ee02395k</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oherbaerwfcarc744bn77pu77y">fatcat:oherbaerwfcarc744bn77pu77y</a>
</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211103083954/https://pubs.rsc.org/en/content/articlepdf/2021/ee/d1ee02395k" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/f3/7c/f37c3fd245369ab3e4d85eae1562cc6bc5cf2267.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1039/d1ee02395k">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
Publisher / doi.org
</button>
</a>
« Previous
Showing results 1 — 15 out of 21 results