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An Efficient Algorithm for the Incremental Broad Learning System by Inverse Cholesky Factorization of a Partitioned Matrix Journal article
Zhu, Hufei, Liu, Zhulin, Philip Chen, C. L., Liang, Yanyang. An Efficient Algorithm for the Incremental Broad Learning System by Inverse Cholesky Factorization of a Partitioned Matrix[J]. IEEE Access, 2021, 9, 19294-19303.
Authors:  Zhu, Hufei;  Liu, Zhulin;  Philip Chen, C. L.;  Liang, Yanyang
Favorite | TC[WOS]:4 TC[Scopus]:2  IF:3.4/3.7 | Submit date：2022/05/13
Added Nodes  Broad Learning System (Bls)  Efficient Algorithms  Incremental Learning  Inverse Cholesky Factorization  Partitioned Matrix  Pseudoinverse  Random Vector Functional-link Neural Networks (Rvflnn)  Single Layer Feedforward Neural Networks (Slfn)  
A new learning paradigm for random vector functional-link network: RVFL+ Journal article
Zhang,Peng Bo, Yang,Zhi Xin. A new learning paradigm for random vector functional-link network: RVFL+[J]. Neural Networks, 2020, 122, 94-105.
Authors:  Zhang,Peng Bo;  Yang,Zhi Xin
Favorite | TC[WOS]:68 TC[Scopus]:77  IF:6.0/7.9 | Submit date：2021/03/11
Rvfl++++  Krvfl++++  Learning Using Privileged Information  The Rademacher Complexity  Svm++++  Random Vector Functional Link Networks  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
Chen, C. L. Philip, Liu, Zhulin. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29(1), 10-24.
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite | TC[WOS]:979 TC[Scopus]:1405  IF:10.2/10.4 | Submit date：2018/10/30
Big Data  Big Data Modeling  Broad Learning System (Bls)  Deep Learning  Incremental Learning  Random Vector Functional-link Neural Networks (Rvflnn)  Single Layer Feedforward Neural Networks (Slfn)  Singular Value Decomposition (Svd)  
Broad learning system: Feature extraction based on K-means clustering algorithm Conference paper
Liu Z., Zhou J., Chen C.L.P.. Broad learning system: Feature extraction based on K-means clustering algorithm[C], 2017, 683-687.
Authors:  Liu Z.;  Zhou J.;  Chen C.L.P.
Favorite | TC[WOS]:31 TC[Scopus]:44 | Submit date：2019/02/11
Broad Learning System  Deep Learning  Feature Representation  Incremental Learning  K-means  Random Vector Functional Link Networks  Single Layer Feedforward Neural Networks  Svd  
Broad learning system: A new learning paradigm and system without going deep Conference paper
Chen C.L.P., Liu Z.. Broad learning system: A new learning paradigm and system without going deep[C], 2017, 1271-1276.
Authors:  Chen C.L.P.;  Liu Z.
Favorite | TC[WOS]:57 TC[Scopus]:76 | Submit date：2019/02/11
Broad Learning System  Deep Learning  Random Vector Functional Link Networks  Single Layer Feedforward Neural Networks  
Broad Learning System: Feature extraction based on K-means clustering algorithm Conference paper
Liu, Zhulin, Zhou, Jin, Chen, C. L. Philip, IEEE. Broad Learning System: Feature extraction based on K-means clustering algorithm[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 683-687.
Authors:  Liu, Zhulin;  Zhou, Jin;  Chen, C. L. Philip;  IEEE
Favorite | TC[WOS]:31 TC[Scopus]:44 | Submit date：2018/10/30
Single Layer Feedforward Neural Networks  Svd  Random Vector Functional Link Networks  Broad Learning System  Incremental Learning  Deep Learning  K-means  Feature Representation  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Liu, Zhulin, Chen, C. L. Philip, IEEE. Broad Learning System: structural extensions on single-layer and multi-layer neural networks[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 136-141.
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
Favorite | TC[WOS]:36 TC[Scopus]:48 | Submit date：2018/10/30
Single Layer Feedforward Neural Networks  Random Vector Functional Link Networks  Broad Learning System  Incremental Learning  Extremal Learning Machine  Radial Basis Function Networks  Hierarchical Extremal Learning Machine  
Broad Learning System: a new learning paradigm and system without going deep Conference paper
Chen, C. L. Philip, Liu, Zhulin, IEEE. Broad Learning System: a new learning paradigm and system without going deep[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 1271-1276.
Authors:  Chen, C. L. Philip;  Liu, Zhulin;  IEEE
Favorite | TC[WOS]:57 TC[Scopus]:76 | Submit date：2018/10/30
Single Layer Feedforward Neural Networks  Random Vector Functional Link Networks  Broad Learning System  Deep Learning