DocumentCode :
357396
Title :
Self-excited oscillations and period doubling condition in Hopfield neural network
Author :
Vorobyov, Sergiy A. ; Cichocki, Andrzej
Author_Institution :
RIKEN, Inst. of Phys. & Chem. Res., Saitama, Japan
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
197
Abstract :
A simple dynamic neural network is considered. The behavior of neural network is investigated by analyzing the associated characteristic equation for the case of exterior influence absence and for the case of exterior influence action. It is shown that for the first case the system that consists of two neurons can generate self-excited oscillations and for the second case the condition for period doubling was obtained. It is shown that for dynamical neural networks exist simple mechanisms for chaos appearance for the network as a whole
Keywords :
Hopfield neural nets; chaos; oscillations; Hopfield neural network; chaos; characteristic equation; dynamical neural networks; exterior influence action; period doubling condition; self-excited oscillations; Artificial neural networks; Biological neural networks; Chaos; Differential equations; Hopfield neural networks; Intelligent networks; Neural networks; Neurons; Shape; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control of Oscillations and Chaos, 2000. Proceedings. 2000 2nd International Conference
Conference_Location :
St. Petersburg
Print_ISBN :
0-7803-6434-1
Type :
conf
DOI :
10.1109/COC.2000.873561
Filename :
873561
Link To Document :
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