Title :
A New Stability Condition of Discrete Hopfield Neural Networks with Weight Function Matrix
Author :
Ying Zhang ; Jun Li ; Zheng-wang Ye
Author_Institution :
China West Normal Univ., Nanchong
Abstract :
The stability analysis of discrete Hopfield neural networks(DHNNs) not only has an important theoretical significance, but also can be widely used in the associative memory, combinatorial optimization, etc. Most matrixes of DHNNs and DHNNs with delay are constant matrixes. The stability of discrete Hopfield neural networks with weight function matrix (DHNNWFM) is studied. A new stability condition for DHNNWFM is presented by using the Lyapunov method.
Keywords :
Hopfield neural nets; Lyapunov methods; matrix algebra; stability; Lyapunov method; discrete Hopfield neural network; stability condition; weight function matrix; Associative memory; Delay; Equations; Hopfield neural networks; Information technology; Neurons; Seminars; Stability analysis; Symmetric matrices; Time factors;
Conference_Titel :
Future Information Technology and Management Engineering, 2008. FITME '08. International Seminar on
Conference_Location :
Leicestershire, United Kingdom
Print_ISBN :
978-0-7695-3480-0
DOI :
10.1109/FITME.2008.118
