Stability Analysis of Discrete Hopfield Neural Network

摘要

The stability of neural networks is the foundation of the neural networks in various applications. But most interconnection matrixes are symmetric or antisymmetric. The dynamic behavior of asymmetric discrete Hopfield neural network(DHNN) is mainly studied in partial simultaneous updating mode and parallel mode, and using the Lyapunov method, some new simple stability conditions of DHNN are presented.The results established here improve and extend the corresponding results given in the earlier references.