Filters








21 Hits in 14.6 sec

Evaluation Model of Physical Education Effect: On the Application of Radial Basis Function-Particle Swarm Optimization Neural Network (RBFNN-PSO)

Dong Chen, Syed Hassan Ahmed
<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> &nbsp;
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

E. Khoobjou, A. H. Mazinan
<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> &nbsp;
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

Karim Sherif Mostafa Hassan Ibrahim, Yuk Feng Huang, Ali Najah Ahmed, Chai Hoon Koo, Ahmed El-Shafie
<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> &nbsp;
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&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210606T054442Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYRDDAJNOU%2F20210606%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=70c4063dff760181fd1e2b8acb3a125dce53321ecc8f274709702451688b3411&amp;hash=2c5db124216dba15b3ba66e743cb10e2d5ec8e5b5c8e183cda55cbad09c2b4c6&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S111001682100346X&amp;tid=spdf-48e47e11-9ee9-4fe3-8f66-b7f83d2120ef&amp;sid=21e56506205967487c591891130ba71df9d5gxrqa&amp;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

Zheyu He, Xi He, Osamah Ibrahim Khalaf
<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> &nbsp;
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

Hazlee Azil Illias, Xin Rui Chai, Ab Halim Abu Bakar, Hazlie Mokhlis, Daqing Li
<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> &nbsp;
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&amp;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

Xianglin Zhu, Khalil Ur Rehman, Bo Wang, Muhammad Shahzad
<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> &nbsp;
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

Adrienn Dineva, Amir Mosavi, Sina Faizollahzadeh Ardabili, Istvan Vajda, Shahaboddin Shamshirband, Timon Rabczuk, Kwok–Wing Chau
<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> &nbsp;
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=&amp;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

Turkay Dereli, Serap Ulusam Seckiner, Gulesin Sena Das, Hadi Gokcen, Mehmet Emin Aydin
<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> &nbsp;
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

Sparsh Sharma, Suhaib Ahmed, Mohd Naseem, Waleed S. Alnumay, Saurabh Singh, Gi Hwan Cho
<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> &nbsp;
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

Jianguo Zhou, Xiaolei Xu, Wei Li, Fengtao Guang, Xuechao Yu, BaoLing Jin
<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> &nbsp;
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

Aodi Sui, Wuyong Qian
<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> &nbsp;
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]

Jithin Jagannath and Nicholas Polosky and Anu Jagannath and Francesco Restuccia and Tommaso Melodia
<span title="2019-01-23">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</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

Oyeniyi Akeem Alimi, Khmaies Ouahada, Adnan M. Abu-Mahfouz
<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> &nbsp;
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]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
<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> &nbsp;
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

Yongliang (Harry) Yan, Tohid Borhani, Gokul Subraveti, Nagesh Pai, Vinay Prasad, Arvind Rajendran, Paula Nkulikiyinka, Jude Odianosen Asibor, Zhien Zhang, Ding Shao, Lijuan Wang, Wenbiao Zhang (+7 others)
<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 &amp; Environmental Science</a> </i> &nbsp;
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>
&laquo; Previous Showing results 1 &mdash; 15 out of 21 results