The multistability of delayed competitive neural networks with piecewise non‐monotonic activation functions-Reference-Cited by-同舟云学术

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The multistability of delayed competitive neural networks with piecewise non‐monotonic activation functions

Published:2022-05-18 Issue:16 Volume:45 Page:10295-10311
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Methods in App Sciences

Author:

Zhang Yan¹,Qiao Yuanhua¹^ORCID,Duan Lijuan²,Miao Jun³

Affiliation:

1. Faculty of Science Beijing University of Technology Beijing 100124 China

2. Faculty of Information Technology Beijing University of Technology Beijing 100124 China

3. School of Computer Science Beijing Information Science and Technology University Beijing 100101 China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Beijing Municipal Commission of Education

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.8368

Reference30 articles.

1. Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales

2. Global exponential stability of delayed competitive neural networks with different time scales

3. Global Exponential Stability and Global Convergence in Finite Time of Delayed Neural Networks With Infinite Gain

4. Local and Global Stability Analysis of an Unsupervised Competitive Neural Network

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1. Multistability of almost periodic solution for Clifford-valued Cohen–Grossberg neural networks with mixed time delays;Chaos, Solitons & Fractals;2023-11

2. Multistability of switched complex-valued neural networks with state-dependent switching rules;Neurocomputing;2023-09

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