Global Exponential Stability of Fuzzy BAM Neural Networks with Distributed Delays

摘要

In this paper, by using the theory of topological degree, Lyapunov functional and analysis technique, the sufficient conditions which ensure the existence, uniqueness and global exponential stability of the equilibrium point for fuzzy bi-directional associative memory neural networks with distributed delays are obtained. The results remove the usual assumption that the activation functions are bounded. An example is given to illustrate the effectiveness and feasibility of results obtained.