DocumentCode
830438
Title
Qualitative analysis and synthesis of a class of neural networks
Author
Li, Jian Hua ; Michel, Anthony N. ; Porod, Wolfgang
Author_Institution
Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
Volume
35
Issue
8
fYear
1988
fDate
8/1/1988 12:00:00 AM
Firstpage
976
Lastpage
986
Abstract
The dynamic properties of a class of neural networks (which includes the Hopfield model as a special case) are investigated by studying the qualitative behavior of equilibrium points. The results fall into one of two categories: results pertaining to analysis (e.g., stability properties of an equilibrium, asymptotic behavior of solutions, etc.) and results pertaining to synthesis (e.g. the design of a neural network with prespecified equilibrium points which are asymptotically stable). Most (but not all) of the results presented are global, and their applicability is demonstrated by an example
Keywords
differential equations; neural nets; stability criteria; Hopfield model; analysis; dynamic properties; equilibrium points; neural networks; qualitative behavior; stability properties; synthesis; Asymptotic stability; Differential equations; Ear; Hopfield neural networks; Network synthesis; Neural networks; Stability analysis; Upper bound;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.1844
Filename
1844
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