Title :
A chaotic memory search model based on associative dynamics using features in stored patterns
Author :
Kobayashi, K. ; Watanabe, K. ; Obayashi, M.
Author_Institution :
Yamaguchi Univ., Japan
Abstract :
A new chaotic memory search model based on associative dynamics using features in stored patterns is proposed. Two kinds of features are considered; external and internal ones. The former is assigned by a designer and the latter is automatically assigned by competitive learning. The control of chaotic and static states is realized using a presynaptic inhibition model. The performance of the proposed model is evaluated through computer simulation.
Keywords :
chaos; neural nets; search problems; unsupervised learning; associative dynamics; chaotic memory search model; chaotic states; competitive learning; computer simulation; external features; internal features; memory search; presynaptic inhibition model; static states; stored patterns; Automatic control; Backpropagation; Cellular neural networks; Chaos; Feature extraction; Humans; Neural networks; Neurons; Software engineering; State feedback;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195606
