DocumentCode
2698757
Title
Dynamical properties of neural nets using competitive activation mechanisms
Author
Benaim, M. ; Samuelides, Manuel
fYear
1990
fDate
17-21 June 1990
Firstpage
541
Abstract
It is shown that layered feedforward nets are convergent, while nonperiodic oscillations might occur in bidirectional nets. The virtual lateral inhibition phenomenon in feedforward nets is discussed. It is shown that a certain kind of nonlinearity in output functions may be successfully used in realizing winner-take-all networks
Keywords
learning systems; neural nets; Lyapounov function; bidirectional nets; competitive activation mechanisms; competitive learning; convergence; layered feedforward nets; neural nets; nonlinearity; nonperiodic oscillations; output functions; virtual lateral inhibition phenomenon; winner-take-all networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137896
Filename
5726854
Link To Document