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Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS) Conference paper
2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018
Authors:  Wang,Jing;  Chen,Philip;  Ma,Zhenyuan;  Xiao,Zhenghong
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Adaptive Neural-Fuzzy Inference Systems(ANFIS)  Fuzzy Inference Systems  Fuzzy Neural Networks  Gradient Descent  Neural Networks  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View | Adobe PDF | Favorite |  | TC[WOS]:28 TC[Scopus]:31 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles Journal article
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2017,Volume: 139,Issue: 4
Authors:  Rong, Hai-Jun;  Yang, Zhao-Xu;  Wong, Pak Kin;  Vong, Chi Man
Favorite |  | TC[WOS]:2 TC[Scopus]:7 | Submit date:2018/10/30
A new fast-F-CONFIS training of fully-connected neuro-fuzzy inference system Conference paper
ICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems, Chengdu, PEOPLES R CHINA, AUG 13-15, 2015
Authors:  Jing Wang;  Yuan-Yan Tang;  Long Chen;  C. L. Philip Chen;  Chao-Tian Chen
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Conjugate Gradients  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks  
Mixed radix systems of fully connected neuro-fuzzy inference systems with special properties Conference paper
ICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems
Authors:  Wang J.;  Chen C.-T.;  Chen C.L.P.;  Yu Y.-Q.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Fully Connected Neuro-Fuzzy System  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks  Neuro-Fuzzy System  
The bounded capacity of fuzzy neural networks (FNNs) via a new fully connected neural fuzzy inference system (F-CONFIS) with its applications Journal article
IEEE Transactions on Fuzzy Systems, 2014,Volume: 22,Issue: 6,Page: 1373-1386
Authors:  Wang J.;  Wang C.-H.;  Chen C.L.P.
Favorite |  | TC[WOS]:12 TC[Scopus]:16 | Submit date:2019/02/11
Capacity of neural networks  fuzzy neural networks (FNNs)  fuzzy system  Iris data  neural networks  
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.
Favorite |  | TC[WOS]:32 TC[Scopus]:33 | Submit date:2019/02/11
Fully Connected Neuro-fuzzy Inference Systems (F-confis)  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks (Nns)  Neuro-fuzzy System  Optimal Learning  
Ocular artifact removal from EEG using ANFIS Conference paper
IEEE International Conference on Fuzzy Systems, Beijing, PEOPLES R CHINA, JUL 06-11, 2014
Authors:  Chen W.;  Wang Z.;  Lao K.F.;  Wan F.
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2018/12/24
Adaptive Noise Cancellation  Anfis  Eeg  Eog Artifact Removal  Time Delay  
Road link traffic speed pattern mining in probe vehicle data via soft computing techniques Journal article
Applied Soft Computing Journal, 2013,Volume: 13,Issue: 9,Page: 3894-3902
Authors:  Chen D.;  Chen L.;  Liu J.
Favorite |  | TC[WOS]:7 TC[Scopus]:7 | Submit date:2019/02/13
Gps  Neuro-fuzzy Systems  Probe Vehicles  Soft Computing  Traffic Speed Pattern  
APPROACHES TO MODEL AND CONTROL NONLINEAR SYSTEMS BY RBF NEURAL NETWORKS Journal article
International journal of innovative computing, information & control, 2011,Volume: 7,Issue: 2,Page: 941-954
Authors:  XIFAN YAO;  ZHAOTONG LIAN;  DONGYUAN GE;  YI HE
Favorite |  | TC[WOS]:7 TC[Scopus]:0 | Submit date:2019/11/27
Nonlinear System  Uncertain System  Modeling  Control  Neural Network  Radical Basis Function  Approximation  Linearization