Počet záznamů: 1
Features Extraction by Hopfield-Like Neural Network
- 1.0405156 - UIVT-O 20030193 RIV ES eng C - Konferenční příspěvek (zahraniční konf.)
Frolov, A. A. - Húsek, Dušan - Muraviev, I. P. - Řezanková, H. - Snášel, Václav - Polyakov, P.Y.
Features Extraction by Hopfield-Like Neural Network.
Neural Network Engineering Experiences. Malaga: Dpt. de Ingeneria de Sistemas y Automatica, 2003 - (Fernandez de Canete, J.; Tsaptsinos, D.), s. 383-390. ISBN 84-930984-1-8.
[EANN'03. International Conference on Engineering Applications of Neural Networks. Malaga (ES), 08.09.2003-10.09.2003]
Grant CEP: GA AV ČR IAA2030801; GA ČR GA201/01/1192
Grant ostatní: BARRANDE(XE) 203-030-2
Výzkumný záměr: AV0Z1030915
Klíčová slova: Boolean factorization * recurrent neural network * single-step approximation
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
The unsupervised learning of feature extraction in high-dimensional patterns is a central problem for neural network approach. In this paper we demonstrate that Hebbian learning in Hopfield-like neural network is a natural procedure for feature extraction. Due to this learning, factors become attractors of network dynamics. The neurodynamics is analysed by Single-Step approximation and computer simulation.
Trvalý link: http://hdl.handle.net/11104/0125355
Počet záznamů: 1