UM

Browse/Search Results:  1-10 of 16 Help

Selected(0)Clear Items/Page:    Sort:
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 1,Page: 10-24
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite  |  View/Download:11/0  |  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
ICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems
Authors:  Liu Z.;  Zhou J.;  Chen C.L.P.
Favorite  |  View/Download:2/0  |  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
Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
Authors:  Chen C.L.P.;  Liu Z.
Favorite  |  View/Download:0/0  |  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
Authors:  Liu, Zhulin;  Zhou, Jin;  Chen, C. L. Philip;  IEEE
Favorite  |  View/Download:6/0  |  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: a new learning paradigm and system without going deep Conference paper
Authors:  Chen, C. L. Philip;  Liu, Zhulin;  IEEE
Favorite  |  View/Download:6/0  |  Submit date:2018/10/30
Single layer feedforward neural networks  random vector functional link networks  broad learning system  deep learning  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
Favorite  |  View/Download:7/0  |  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  
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2016,Volume: 27,Issue: 12,Page: 2683-2695
Authors:  Lian C.;  Zeng Z.;  Yao W.;  Tang H.;  Chen C.L.P.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Displacement prediction  feedforward neural networks  landslide  prediction interval (PI)  
Structure impact localization using emerging artificial intelligence algorithms Book chapter
出自: Emerging Design Solutions in Structural Health Monitoring Systems:IGI-GLOBAL, 2015, 页码: 103-123
Authors:  Xu Q.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/23
Local receptive fields based extreme learning machine Journal article
IEEE Computational Intelligence Magazine, 2015,Volume: 10,Issue: 2,Page: 18
Authors:  Huang G.-B.;  Bai Z.;  Kasun L.L.C.;  Vong C.M.
Favorite  |  View/Download:4/0  |  Submit date:2018/10/30
Sparse bayesian extreme learning machine for multi-classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 4,Page: 836
Authors:  Luo J.;  Vong C.-M.;  Wong P.-K.
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Bayesian Learning  Classification  Extreme Learning Machine (Elm)  Sparsity