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An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy Journal article
Information Sciences, 2016,Volume: 369,Page: 500-521
Authors:  Gao H.;  Pun C.-M.;  Kwong S.
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Exchange Method  Learning Item  Particle Swarm Optimization  Threshold Image Segmentation  
The Generalization Ability of SVM Classification Based on Markov Sampling Journal article
IEEE Transactions on Cybernetics, 2015,Volume: 45,Issue: 6,Page: 1169-1179
Authors:  Jie Xu;  Yuan Yan Tang,;  Bin Zou;  Zongben Xu;  Luoqing Li;  Yang Lu;  Baochang Zhang
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Generalization Ability  Learning Rate  Markov Sampling  Support Vector Machine Classification (Svmc)  
A new learning algorithm for a fully connected neuro-fuzzy inference system Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 10,Page: 1741-1757
Authors:  Chen C.L.P.;  Wang J.;  Wang C.-H.;  Chen L.
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Fully Connected Neuro-fuzzy Inference Systems (F-confis)  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks (Nns)  Neuro-fuzzy System  Optimal Learning  
Impact of ratio k on two-layer neural networks with dynamic optimal learning rate Conference paper
Proceedings of the International Joint Conference on Neural Networks
Authors:  Tong Z.;  Chen C.L.P.;  Jin Z.
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Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 6,Page: 1217
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Wang F.-Y.
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Consensus control  Lyapunov-Krasovskii functional  Neural networks (NNS)  Nonlinear multiagent systems  Time delay  
Finding the near optimal learning rates of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs) Conference paper
Proceedings 2012 International Conference on System Science and Engineering, ICSSE 2012
Authors:  Wang J.;  Chen C.L.P.;  Wang C.-H.
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Back Propagations  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks  Optimal training  
A new dynamic optimal learning rate for a two-layer neural network Conference paper
Proceedings 2012 International Conference on System Science and Engineering, ICSSE 2012
Authors:  Zhang T.;  Chen C.L.P.;  Wang C.-H.;  Tam S.C.
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learning rate  neural network  new optimal learning rate  ratio k  two-layer NN