中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
作者:  Wang, Xiao;  Zhu, Yushan;  Han, Shuangshuang;  Yang, Linyao;  Gu, Haixia;  Wang, Fei-Yue
收藏  |  浏览/下载：211/0  |  提交时间：2022/06/06
Convolutional neural networks  Feature extraction  Machine learning algorithms  Deep learning  Global Positioning System  Scalability  Safety  Broad learning system (BLS)  incremental learning system  Internet of Vehicles (IoV)  misbehavior detection  ridge regression approximation  
Broad Learning System Based on Maximum Correntropy Criterion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097
作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun
收藏  |  浏览/下载：175/0  |  提交时间：2021/08/15
Learning systems  Robustness  Standards  Optimization  Training  Perturbation methods  Mean square error methods  Broad learning system (BLS)  incremental learning algorithms  maximum correntropy criterion (MCC)  regression and classification  
Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 2152-2165
作者:  Chen, Zhihua;  Gao, Ting;  Sheng, Bin;  Li, Ping;  Chen, C. L. Philip
收藏  |  浏览/下载：261/0  |  提交时间：2020/06/22
Lighting  Sun  Estimation  Learning systems  Feature extraction  Neural networks  Classification algorithms  Broad learning system (BLS)  illumination estimating  Markov random field (MRF)  multiclass integrating  shadow synthesis  
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 414-424
作者:  Feng, Shuangg;  Chen, C. L. Philip
收藏  |  浏览/下载：212/0  |  提交时间：2020/03/30
Broad learning system (BLS)  classification  k-means  regression  Takagi-Sugeno (TS) fuzzy system  
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：246/0  |  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