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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 10-24
作者:  Chen, C. L. Philip;  Liu, Zhulin
收藏  |  浏览/下载：191/0  |  提交时间：2019/12/16
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)  
Discriminative graph regularized broad learning system for image recognition 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 11, 页码: 14
作者:  Jin, Junwei;  Liu, Zhulin;  Chen, C. L. Philip
收藏  |  浏览/下载：186/0  |  提交时间：2019/12/16
broad learning system  deep learning  graph regularization  image recognition  feature extraction  incremental learning  
Universal Approximation Capability of Broad Learning System and Its Structural Variations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1191-1204
作者:  Chen, C. L. Philip;  Liu, Zhulin;  Feng, Shuang
收藏  |  浏览/下载：243/0  |  提交时间：2019/12/16
Broad learning system (BLS)  deep learning  face recognition  functional link neural networks (FLNNs)  non-linear function approximation  time-variant big data modeling  universal approximation