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Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2022, 卷号: 10, 期号: 2, 页码: 973-984
作者:  Ying Liufu;  Jin, Long;  Xu, Jinqiang;  Xiao, Xiuchun;  Fu, Dongyang
收藏  |  浏览/下载:120/0  |  提交时间:2022/08/22
Optimization  Computational modeling  Mathematical model  Numerical models  Convergence  Neural networks  Robustness  Reformative noise-immune neural network (RNINN)  equality-constrained optimization  noise-resistance  robustness  
Activated Gradients for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Liu, Mei;  Chen, Liangming;  Du, Xiaohao;  Jin, Long;  Shang, Mingsheng
收藏  |  浏览/下载:50/0  |  提交时间:2022/08/22
Training  Deep learning  Neural networks  Optimization  Visualization  Newton method  Eigenvalues and eigenfunctions  Exploding gradient problems  gradient activation function (GAF)  ill-conditioned problems  saddle point problems  vanishing gradient problems  
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Qi, Yimeng;  Jin, Long;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载:48/0  |  提交时间:2022/08/22
Computational modeling  Mathematical model  Neural networks  Control theory  Analytical models  Real-time systems  Numerical models  Control-theoretical techniques  perturbed nonstationary quadratic program (QP)  recurrent neural dynamics  robustness theoretical analysis