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 n th-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