DocumentCode :
298400
Title :
A topological approach to analyze equilibrium configurations of neural network circuits
Author :
Forti, M. ; Manetti, S. ; Marini, M. ; Panti, E.
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
Volume :
1
fYear :
1994
fDate :
3-5 Aug 1994
Firstpage :
614
Abstract :
We analyze the equilibrium configurations of the additive neural network model by using topological methods (the degree theory and the concept of homotopy of odd vector fields). Useful results are obtained on the number, location and stability of equilibria
Keywords :
circuit stability; network topology; neural nets; additive model; equilibrium configurations; homotopy; neural network circuits; stability; topological analysis; vector fields; Additives; Associative memory; Cellular neural networks; Circuit stability; Electronic mail; Hopfield neural networks; Neural networks; Neurons; Stability analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
Type :
conf
DOI :
10.1109/MWSCAS.1994.519370
Filename :
519370
Link To Document :
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