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科研机构
湖南大学 [10]
内容类型
期刊论文 [10]
发表日期
2019 [10]
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发表日期:2019
专题:湖南大学
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Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: Vol.30 No.7, 页码: 2052-2066
作者:
Zhenyuan Guo
;
Linlin Liu
;
Jun Wang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Switches
Neural networks
Switched systems
Associative memory
Mathematical model
Learning systems
Matrix decomposition
Exponential stability
multistability
piecewise linear activation functions
state dependent
switched neural network
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function
期刊论文
Neurocomputing, 2019, 卷号: Vol.350, 页码: 108-116
作者:
Fei Yu
;
Li Liu
;
Lin Xiao
;
Kenli Li
;
Shuo Cai
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/13
Zeroing neural dynamics
Nonlinear activation function
Finite-time convergence
Time-variant nonlinear equation
Robustness
Nonlinear gradient neural network for solving system of linear equations.
期刊论文
Information Processing Letters, 2019, 卷号: Vol.142, 页码: 35-40
作者:
Xiao, Lin
;
Li, Kenli
;
Tan, Zhiguo
;
Zhang, Zhijun
;
Liao, Bolin
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/13
Fast convergence
Gradient neural network (GNN)
Nonlinear activation function
Performance evaluation
Systems of linear equations (SoLE)
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function
期刊论文
Neurocomputing, 2019
作者:
Fei Yu
;
Li Liu
;
Lin Xiao
;
Kenli Li
;
Shuo Cai
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/12/13
Zeroing neural dynamics
Nonlinear activation function
Finite-time convergence
Time-variant nonlinear equation
Robustness
Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations
期刊论文
Neurocomputing, 2019, 卷号: Vol.363, 页码: 171-181
作者:
Lin Xiao
;
Qian Yi
;
Jianhua Dai
;
Kenli Li
;
Zeshan Hu
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/13
Zeroing neural network
Sign-bi-power activation function
Dynamic complex linear equations
Finite-time convergence
Global exponential synchronization of delayed fuzzy cellular neural networks with discontinuous activations
期刊论文
International Journal of Machine Learning and Cybernetics, 2019, 卷号: Vol.10 No.3, 页码: 579-589
作者:
Lian Duan
;
Xianwen Fang
;
Yujie Fu
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/13
Fuzzy
cellular
neural
network
Discontinuous
activation
Global
exponential
synchronization
State
feedback
controller
Adaptive
controller
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function
期刊论文
NEUROCOMPUTING, 2019, 卷号: Vol.350, 页码: 108-116
作者:
Yu, F
;
Liu, L
;
Xiao, L
;
Li, KL
;
Cai, S
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Zeroing neural dynamics
Nonlinear activation function
Finite-time convergence
Time-variant nonlinear equation
Robustness
Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations
期刊论文
NEUROCOMPUTING, 2019, 卷号: Vol.363, 页码: 171-181
作者:
Xiao, L
;
Yi, Q
;
Dai, JH
;
Li, KL
;
Hu, ZS
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Zeroing neural network
Sign-bi-power activation function
Dynamic complex linear equations
Finite-time convergence
Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: Vol.30 No.7, 页码: 2052-2066
作者:
Guo, ZY
;
Liu, LL
;
Wang, J
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Exponential stability
multistability
piecewise linear activation functions
state dependent
switched neural network
Nonlinear gradient neural network for solving system of linear equations
期刊论文
INFORMATION PROCESSING LETTERS, 2019, 卷号: Vol.142, 页码: 35-40
作者:
Xiao, L
;
Li, KL
;
Tan, ZG
;
Zhang, ZJ
;
Liao, BL
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/17
Systems of linear equations (SOLE)
Fast convergence
Nonlinear activation function
Gradient neural network (GNN)
Performance evaluation
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