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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：213/0  |  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  
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:  Qi, Yimeng;  Jin, Long;  Wang, Yaonan;  Xiao, Lin;  Zhang, Jiliang
收藏  |  浏览/下载：216/0  |  提交时间：2021/01/07
Computational modeling  Convergence  Mathematical model  Recurrent neural networks  Perturbation methods  Robots  Numerical models  Complex domain  discrete-time neural dynamics (DTND)  quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)  quadratic programming (QP)  
Dynamic Collaborative Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
作者:  Zhu, Guibo;  Zhang, Zhaoxiang;  Wang, Jinqiao;  Wu, Yi;  Lu, Hanqing
浏览  |  Adobe PDF(2492Kb)  |  收藏  |  浏览/下载：526/158  |  提交时间：2018/10/11
Correlation filter (CF)  distracter suppression  online learning  visual tracking