DocumentCode
2331629
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
fYear
2008
fDate
20-20 Nov. 2008
Firstpage
65
Lastpage
68
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/FITME.2008.118
Filename
4746443
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