DocumentCode
1652940
Title
On the sufficient conditions for the stability of nonlinear continuous neural networks
Author
Xu, Jianping
Author_Institution
Dept. of Electr. Eng., Southwest Jiaotong Univ., Sichuan, China
fYear
1990
Firstpage
1250
Abstract
Based on the Maxwell minimum heating theorem and the stability criteria of continuous autonomous dynamic networks, the sufficient conditions for a stable content-addressable memory (CAM) neural network model are established. An example is given to illustrate the effect of the circuit parameters on the stability on the CAM neural network simulated by electronic devices. The approach presented should be helpful in stability analyses of other nonlinear continuous neural networks
Keywords
content-addressable storage; neural nets; nonlinear network analysis; stability criteria; Maxwell minimum heating theorem; continuous autonomous dynamic networks; nonlinear continuous neural networks; stability criteria; stable content-addressable memory neural network model; CADCAM; Capacitors; Circuit stability; Computer aided manufacturing; Heating; Hopfield neural networks; Neural networks; Neurons; Stability analysis; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location
Pacific Grove, CA
Print_ISBN
0-87942-600-4
Type
conf
DOI
10.1109/IECON.1990.149316
Filename
149316
Link To Document