Title :
Stability Analysis of Discrete Hopfield Neural Network
Author :
Zheng, Xiaochang
Author_Institution :
Comput. Centre, Zhangzhou Normal Univ., Zhangzhou
Abstract :
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.
Keywords :
Hopfield neural nets; Lyapunov methods; matrix algebra; stability; Lyapunov method; discrete Hopfield neural network; interconnection matrix; parallel mode; partial simultaneous updating mode; stability analysis; Application software; Artificial neural networks; Computer networks; Electronic mail; Hopfield neural networks; Lyapunov method; Neural networks; Neurons; Stability analysis; Symmetric matrices;
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
DOI :
10.1109/ICACTE.2008.105
