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A Time-Scale Integral Delay Inequality Approach for Anti-synchronization of Neural Networks via Impulsive Controllers Journal article
Huang, Zhenkun, Wang, Mengmeng, Silvestre, Carlos, Gorbachev, Sergey, Cao, Jinde. A Time-Scale Integral Delay Inequality Approach for Anti-synchronization of Neural Networks via Impulsive Controllers[J]. IEEE Transactions on Control of Network Systems, 2023, 10(1), 194 - 204.
Authors:  Huang, Zhenkun;  Wang, Mengmeng;  Silvestre, Carlos;  Gorbachev, Sergey;  Cao, Jinde
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:4.0/4.3 | Submit date：2022/05/17
Anti-synchronization  Chaotic Communication  Control Systems  Delayed Neural Networks  Delays  Impulsive Control  Lyapunov Functional  Network Systems  Neural Networks  Stability Criteria  Synchronization  Time Scales  
Improved reciprocally convex inequality for stability analysis of neural networks with time-varying delay Journal article
Shi, Chenyang, Hoi, Kachon, Vong, Seakweng. Improved reciprocally convex inequality for stability analysis of neural networks with time-varying delay[J]. Neurocomputing, 2023, 527, 167-173.
Authors:  Shi, Chenyang;  Hoi, Kachon;  Vong, Seakweng
Favorite | TC[WOS]:9 TC[Scopus]:8  IF:5.5/5.5 | Submit date：2023/04/03
Lyapunov–krasovskii Functional  Neural Networks  Reciprocally Convex Inequality  Time-varying Delay  
A Time-Scale Integral Delay Inequality Approach for Antisynchronization of Neural Networks via Impulsive Controllers Journal article
Zhenkun Huang, Mengmeng Wang, Carlos Silvestre, Sergey Gorbachev, Jinde Cao. A Time-Scale Integral Delay Inequality Approach for Antisynchronization of Neural Networks via Impulsive Controllers[J]. IEEE Transactions on Control of Network Systems, 2022, 10(1), 194 - 204.
Authors:  Zhenkun Huang;  Mengmeng Wang;  Carlos Silvestre;  Sergey Gorbachev;  Jinde Cao
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:4.0/4.3 | Submit date：2023/11/07
Antisynchronization  Delayed Neural Networks  Impulsive Control  Lyapunov Functional  Time Scales  
Free-weighting-matrix inequality for exponential stability for neural networks with time-varying delay Journal article
Shi, Chenyang, Hoi, Kachon, Vong, Seakweng. Free-weighting-matrix inequality for exponential stability for neural networks with time-varying delay[J]. NEUROCOMPUTING, 2021, 466, 221-228.
Authors:  Shi, Chenyang;  Hoi, Kachon;  Vong, Seakweng
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:5.5/5.5 | Submit date：2021/12/08
Exponential Stability  Lyapunov–krasovskii Functional  Neural Networks  Time-varying Delay  
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)  
Classification of pure conduct disorder from healthy controls based on indices of brain networks during resting state Journal article
Zhang,Jiang, Liu,Yuyan, Luo,Ruisen, Du,Zhengcong, Lu,Fengmei, Yuan,Zhen, Zhou,Jiansong, Li,Shasha. Classification of pure conduct disorder from healthy controls based on indices of brain networks during resting state[J]. Medical and Biological Engineering and Computing, 2020, 58(9), 2071-2082.
Authors:  Zhang,Jiang;  Liu,Yuyan;  Luo,Ruisen;  Du,Zhengcong;  Lu,Fengmei; et al.
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:2.6/2.7 | Submit date：2021/03/04
Classification Scheme  Conduct Disorder  Feature Selection  Functional Magnetic Resonance Imaging  Small-world Networks  
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]:69 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  
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]:367 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  
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]:983 TC[Scopus]:1412  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]:45 | 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