DocumentCode :
2821857
Title :
Neural networks via nonlinear sensitivity approach
Author :
Jiao, L.C. ; Bao, Z.
Author_Institution :
Center for Neural Network & Inst. of Electron. Eng., Xidian Univ., Xian, China
fYear :
1991
fDate :
11-14 Jun 1991
Firstpage :
2542
Abstract :
The sensitivity, semisensitivity, trail sensitivity, and nth-order zero sensitivity of neural networks are investigated. The sensitivity analysis approach of nonlinear neural network systems is established. As an example, the sensitivities of the Hopfield neural network model are studied
Keywords :
neural nets; nonlinear network analysis; sensitivity analysis; Hopfield neural network model; nonlinear sensitivity; nth-order zero sensitivity; semisensitivity; sensitivity analysis; trail sensitivity; Associative memory; Chaos; Computer architecture; Computer networks; High performance computing; Hopfield neural networks; Neural network hardware; Neural networks; System performance; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
Type :
conf
DOI :
10.1109/ISCAS.1991.176045
Filename :
176045
Link To Document :
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