DocumentCode
2406951
Title
Estimation of the basins of attraction of recurrent type analog neural networks
Author
Ciliz, M. Ice emal ; Harova, Arif
Author_Institution
Dept. of Electr. & Electron., Bogazici Univ., Istanbul, Turkey
fYear
1992
fDate
1992
Firstpage
3496
Abstract
The basins of attraction (stability regions) of the stable equilibria of the Hopfield type recurrent neural networks are investigated. For estimating the dimensions of these regions, a constructive method is utilized. It is shown that, with increasing number of iterations, larger estimates of equilibrium point basins are generated. The method is tested with an example, and the estimated basins are shown to be within the exact stability regions
Keywords
Hopfield neural nets; pattern recognition; stability; Hopfield type recurrent neural networks; basins of attraction estimation; equilibrium point basins; recurrent type analog neural networks; stability regions; stable equilibria; Artificial neural networks; Associative memory; Computer networks; Hopfield neural networks; Lyapunov method; Neural networks; Neurofeedback; Recurrent neural networks; Stability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371201
Filename
371201
Link To Document