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Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling

Sheng Chen, Xia Hong, Chris J Harris
<span title="">2010</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dqtjwgdgmjazlimlppwouyrzcq" style="color: black;">IEEE Transactions on Evolutionary Computation</a> </i> &nbsp;
A particle swarm optimization (PSO) aided orthogonal forward regression (OFR) algorithm based on leaveone-out (LOO) criteria is developed to construct parsimonious radial basis function (RBF) networks  ...  We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density function estimation.  ...  This paper proposes a particle swarm optimization (PSO) aided OFR algorithm to construct tunable-node RBF models for unified data modeling that includes regression, classification, and density estimation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2009.2035921">doi:10.1109/tevc.2009.2035921</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tejbj7fwxbbkjepmvct73aagke">fatcat:tejbj7fwxbbkjepmvct73aagke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809162327/http://centaur.reading.ac.uk/16725/1/hong1.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/62/26/622692f0caac0a81c540e5919fc863f817bbc348.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2009.2035921"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

2010 Index IEEE Transactions on Evolutionary Computation Vol. 14

<span title="">2010</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dqtjwgdgmjazlimlppwouyrzcq" style="color: black;">IEEE Transactions on Evolutionary Computation</a> </i> &nbsp;
., +, TEVC Oct. 2010 759-765 Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling.  ...  ., +, TEVC Feb. 2010 150-169 Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2010.2097050">doi:10.1109/tevc.2010.2097050</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhxnf2o62bd3xmxsfyd5fb37ym">fatcat:qhxnf2o62bd3xmxsfyd5fb37ym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724080753/https://ieeexplore.ieee.org/ielx5/4235/5648510/05672638.pdf?tp=&amp;arnumber=5672638&amp;isnumber=5648510" 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/77/6d/776d6a9d7bef0c427fce9703a0b12a00a2e77fe9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2010.2097050"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Survey on data science with population-based algorithms

Shi Cheng, Bin Liu, T. O. Ting, Quande Qin, Yuhui Shi, Kaizhu Huang
<span title="2016-07-01">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/agmh2gzkhvashbstejvq4mfexi" style="color: black;">Big Data Analytics</a> </i> &nbsp;
This paper discusses the relationship between data science and population-based algorithms, which include swarm intelligence and evolutionary algorithms.  ...  Also, the weakness and strength of population-based algorithms could be analyzed via the data analytics along the optimization process, a crucial entity in population-based algorithms.  ...  For other data mining problems, a PSO algorithm aided orthogonal forward regression was utilized in solving unified data modeling problem [51] ; and a binary PSO algorithm proved effective to select the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s41044-016-0003-3">doi:10.1186/s41044-016-0003-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jvddmsjmivdejehqdwlkm2csca">fatcat:jvddmsjmivdejehqdwlkm2csca</a> </span>
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An Analytical Review on Feature Reduction for Big Data Analytics using Machine Learning [chapter]

Rachna Kulhare, Department of CSE, RNTU, Bhopal (M.P), India, S. Veenadhari, Neha Sharma
<span title="">2021</span> <i title="Soft Computing Research Society"> New Frontiers in Communication and Intelligent Systems </i> &nbsp;
There is an explosive growth of data due to advancements in computer methods. With ML techniques, working on a really massive quantity of data is a big problem.  ...  A summary of the contributions of scholars to the development of feature selection methods for huge datasets is provided.  ...  Some of the best techniques used for swarm-based dimension and optimization work in recent research are: particle swarm optimization (PSO), ant colony optimization (ACO), grass-hopper optimization (GHO  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.52458/978-81-95502-00-4-54">doi:10.52458/978-81-95502-00-4-54</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/25oaubtfkfdiriehsoz7wl3bzy">fatcat:25oaubtfkfdiriehsoz7wl3bzy</a> </span>
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A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
<span title="">2015</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques.  ...  It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.  ...  The results over DC motor dataset indicated that the optimal swarm size for convergence was between 20 and 30 particles. Wang et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/931256">doi:10.1155/2015/931256</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ubc5eywnhzdjllxjaywe4czhnm">fatcat:ubc5eywnhzdjllxjaywe4czhnm</a> </span>
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Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes

Sai Ho Ling, Phyo Phyo San, Hung T. Nguyen
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dqcryho35ngpjpyyf2mr3ejdrq" style="color: black;">ISA transactions</a> </i> &nbsp;
For comparison purpose, different computational intelligence technologies such as swarm based neural network, multiple regression based-fuzzy inference system, and fuzzy system were applied to this hypoglycemia  ...  ELM have both universal approximation and classification capabilities and provides efficient unified solutions to generalize feed-forward neural networks.  ...  For PSO-NN, a three-layer feed-forward neural network trained with hybrid particle swarm optimization with wavelet mutation is used. The settings of the PSO parameters can be found in [17] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.isatra.2016.05.008">doi:10.1016/j.isatra.2016.05.008</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27311357">pmid:27311357</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yffkroa2rfcr7mnuclrx24vchi">fatcat:yffkroa2rfcr7mnuclrx24vchi</a> </span>
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Artificial Intelligence in Civil Engineering

Pengzhen Lu, Shengyong Chen, Yujun Zheng
<span title="">2012</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives  ...  for efficiently solving problems in the civil engineering.  ...  To calculate appropriate network coefficients, Tsai 33 designed a center-unified particle swarm optimization CUPSO approach, composed of a center particle and global and local variants, which is quite  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2012/145974">doi:10.1155/2012/145974</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/asd3grpoabf5xn6tdpctxkxtwy">fatcat:asd3grpoabf5xn6tdpctxkxtwy</a> </span>
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Application of entropy measurement technique in grey based Taguchi method for optimization of MIG welding process parameters

Rani Jatav, Vedansh Chaturvedi
<span title="2016-11-30">2016</span> <i title="African Journals Online (AJOL)"> International Journal of Engineering, Science and Technology </i> &nbsp;
Hence welding process parameters are required to be optimized for their responses or welding characteristics.  ...  The confirmatory test also has been done for verifying the results. A foresaid methodology has been found fruitful in the cases where simultaneous optimization of huge number of responses is required.  ...  Acknowledgment The Author is thankful to "Process and Product Development Centre Agra (U.P)" for granting permission to conduct No. of experiments on MIG welding and testing of the specimen.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4314/ijest.v8i3.3">doi:10.4314/ijest.v8i3.3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/inicbmw2jvcjjp4v5i5ic6wdpe">fatcat:inicbmw2jvcjjp4v5i5ic6wdpe</a> </span>
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Artificial Neural Networks Based Optimization Techniques: A Review

Maher G. M. Abdolrasol, S. M. Suhail Hussain, Taha Selim Ustun, Mahidur R. Sarker, Mahammad A. Hannan, Ramizi Mohamed, Jamal Abd Ali, Saad Mekhilef, Abdalrhman Milad
<span title="2021-11-03">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization  ...  This paper includes some results for improving the ANN performance by PSO, GA, ABC, and BSA optimization techniques, respectively, to search for optimal parameters, e.g., the number of neurons in the hidden  ...  Model-aided wireless AI embedding expert knowledge in DNN to solve wireless system optimization to find the best architecture of an ANN [22] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10212689">doi:10.3390/electronics10212689</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oupnikhxdbhedfz5yeatmtj4xa">fatcat:oupnikhxdbhedfz5yeatmtj4xa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211108080836/https://mdpi-res.com/d_attachment/electronics/electronics-10-02689/article_deploy/electronics-10-02689.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/25/8a/258aa2424f26b8ae158e3d085b13c7d134922363.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10212689"> <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>

Optimized state feedback regulation of 3DOF helicopter system via extremum seeking

Rini Akmeliawati, Safanah M. Raafat
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zpbetf376jhtzn5xh4gxeytgzu" style="color: black;">2013 9th Asian Control Conference (ASCC)</a> </i> &nbsp;
Optimal Controller Design for a Railway Vehicle Suspension System Using Particle Swarm Optimization Hazlina Selamat*; Siti Duranni Arang Bilong 217 Force Observer-Based Control for a Rehabilitation  ...  Swarm Optimization Sendrescu Dorin*; Monica Roman 547 Data loss and delay distribution of wireless sensor networks Tian Zheng*; Abdelkader EL KAMEL; Shaoping Wang 548 Improving Quadrotor Three  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ascc.2013.6606363">doi:10.1109/ascc.2013.6606363</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ascc/AkmeliawatiR13.html">dblp:conf/ascc/AkmeliawatiR13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l7enyvdgurhpdl6yetwsst3u7y">fatcat:l7enyvdgurhpdl6yetwsst3u7y</a> </span>
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2020 Index IEEE Transactions on Signal Processing Vol. 68

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gkn2pu46ozb4tmkxczacnmtvkq" style="color: black;">IEEE Transactions on Signal Processing</a> </i> &nbsp;
., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP  ...  ., +, TSP 2020 3903-3916 Channel Estimation: Unified View of Optimal Performance and Pilot Sequences.  ...  ., +, TSP 2020 5602-5616 Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data.  ... 
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Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander, Md. Samiul Haque Sunny
<span title="">2019</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;
This connectivity, and constant communication required in this system, also introduced a massive data volume that demands techniques far superior to conventional methods for proper analysis and decision-making  ...  Big data analysis and machine learning techniques are essential to reaping these benefits.  ...  Application of particle swarm optimization (PSO) to enhance stability for unplanned islanding in microgrid is proposed in [131] .  ... 
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2020 Index IEEE Transactions on Vehicular Technology Vol. 69

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fmebo7gm4vhg7ljs3x2bbrazk4" style="color: black;">IEEE Transactions on Vehicular Technology</a> </i> &nbsp;
Coordination: Topol-ogy-Aware Inter-UAV Routing Optimization; TVT Sept. 2020 10177-10187 Hong, P., see Li, R., TVT April 2020 4006-4018 Hong, P., see Xu, J., TVT June 2020 6688-6698 Hong, W., see Youn  ...  , see Chen, D., TVT May 2020 5634-5646 Hong, C.S., see Le, T.H.T., TVT Dec. 2020 15162-15176 Hong, D., Lee, S., Cho, Y.H., Baek, D., Kim, J., and Chang, N Guo, H., Liu, J., and Zhang, Y., Toward Swarm  ...  ., +, TVT May 2020 5151-5163 Optimal Uplink Pilot-Data Power Allocation for Large-Scale Antenna Array-Aided OFDM Systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvt.2021.3055470">doi:10.1109/tvt.2021.3055470</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/536l4pgnufhixneoa3a3dibdma">fatcat:536l4pgnufhixneoa3a3dibdma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210430231933/https://ieeexplore.ieee.org/ielx7/25/9334471/09356494.pdf?tp=&amp;arnumber=9356494&amp;isnumber=9334471&amp;ref=" 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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvt.2021.3055470"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches [article]

Attai Ibrahim Abubakar, Iftikhar Ahmad, Kenechi G. Omeke, Metin Ozturk, Cihat Ozturk, Ali Makine Abdel-Salam, Michael S. Mollel, Qammer H. Abbasi, Sajjad Hussain, Muhammad Ali Imran
<span title="2022-04-17">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In addition, for the purpose of completeness, we include a brief tutorial on the optimization methods and power supply and charging mechanisms of UAVs.  ...  Albeit many competent technologies for capacity enhancement purposes, such as millimeter wave communications and network densification, there is still room and need for further capacity enhancement in  ...  His research interests include the location theory, network theory, optimization, and metaheuristics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.07967v1">arXiv:2204.07967v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2x7dyojlvjfknibfsliiq4ozw4">fatcat:2x7dyojlvjfknibfsliiq4ozw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220613221348/https://arxiv.org/pdf/2204.07967v1.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/f7/66/f7662302cc9c4c30e2ed5c411cf23ff662c534b8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.07967v1" 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>

Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation

Chong Wang, Xin Qiang, Menghui Xu, Tao Wu
<span title="2022-06-13">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzoj5rayr5hutlurimhzyjlory" style="color: black;">Symmetry</a> </i> &nbsp;
Thirdly, several popular single surrogate models and novel hybrid techniques are reviewed, together with some general criteria for accuracy evaluation.  ...  In addition, sample generation techniques to improve the accuracy of surrogate models are discussed for both static sampling and its adaptive version.  ...  Many heuristic algorithms have been introduced in a variety of non-deterministic problems with fuzzy numbers, such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym14061219">doi:10.3390/sym14061219</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ofouvrkeiffgpltkm5dp5khyeu">fatcat:ofouvrkeiffgpltkm5dp5khyeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220615174559/https://mdpi-res.com/d_attachment/symmetry/symmetry-14-01219/article_deploy/symmetry-14-01219.pdf?version=1655110438" 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/29/62/2962efb9dcb24c5c8c1ea30ca5d3e5ed01e892a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym14061219"> <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>
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