English | 繁體

Search in the results

UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
Universal Approximation Capability of Broad Learning System and Its Structural Variations Journal article
Chen,C. L.Philip, Liu,Zhulin, Feng,Shuang. Universal Approximation Capability of Broad Learning System and Its Structural Variations[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(4), 1191-1204.
Authors:  Chen,C. L.Philip;  Liu,Zhulin;  Feng,Shuang
Favorite | TC[WOS]:365 TC[Scopus]:435  IF:10.2/10.4 | Submit date：2021/03/09
Broad Learning System (Bls)  Deep Learning  Face Recognition  Functional Link Neural Networks (Flnns)  Nonlinear Function Approximation  Time-variant Big Data Modeling  Universal Approximation  
Error-compensated marginal linearization method for modeling a fuzzy system Journal article
Wang D.-G., Chen C.L.P., Song W.-Y., Li H.-X.. Error-compensated marginal linearization method for modeling a fuzzy system[J]. IEEE Transactions on Fuzzy Systems, 2015, 23(1), 215-222.
Authors:  Wang D.-G.;  Chen C.L.P.;  Song W.-Y.;  Li H.-X.
Favorite | TC[WOS]:8 TC[Scopus]:8 | Submit date：2019/02/11
Error-compensated Marginal Linearization (Emaline) Method  Fuzzy System  Nonlinear System  Self-organization Fuzzy Systems  Universal Approximation  
Finding the capacity of Fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs) Conference paper
Wang J., Wang C.-H., Chen C.L.P.. Finding the capacity of Fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs)[C], 2011, 2193-2198.
Authors:  Wang J.;  Wang C.-H.;  Chen C.L.P.
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2019/02/11
Back Propagations  Capacity Of Neural Networks  Fuzzy Logic  Fuzzy Neural Networks  Neural Networks  Universal Approximation Theorem