Multistability of Fuzzy Neural Networks With a General Class of Activation Functions and State-Dependent Switching Rules
Author:
Affiliation:
1. College of Mathematics, Hunan University, Changsha, China
2. Department of Computer Science and School of Data Science, City University of Hong Kong, Hong Kong
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan
Research Grants Council, Hong Kong
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/91/10035774/09810539.pdf?arnumber=9810539
Reference52 articles.
1. New results on pseudo almost periodic solutions of quaternion-valued fuzzy cellular neural networks with delays
2. Lagrange exponential stability for fuzzy Cohen–Grossberg neural networks with time-varying delays
3. New stability results for Takagi–Sugeno fuzzy Cohen–Grossberg neural networks with multiple delays
4. An Analysis of Global Stability of Takagi–Sugeno Fuzzy Cohen–Grossberg Neural Networks with Time Delays
5. Multistability and multiperiodicity of delayed bidirectional associative memory neural networks with discontinuous activation functions
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