Title :
Chaotic multidirectional associative memory
Author :
Osana, Yuko ; Hattori, Motonobu ; Hagiwara, Masafumi
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
Abstract :
A chaotic multidirectional associative memory (CMAM) is proposed and simulated. It can deal with many-to-many associations and the structure is very simple. Furthermore, similarity to a psychological fact (priming effect) is observed in the association of the CMAM. In order to enable many-to-many associations, the CMAM memorizes each training data together with its own contextual information and employs chaotic neurons. Since the chaotic neurons change their states by chaos, many-to-many associations can be realized in the CMAM
Keywords :
associative processing; chaos; content-addressable storage; decoding; encoding; learning (artificial intelligence); neural nets; chaos; chaotic multidirectional associative memory; chaotic neurons; contextual information; decoding; encoding; learning; many-to-many associations; Associative memory; Biological neural networks; Bismuth; Chaos; Hebbian theory; Human factors; Magnesium compounds; Neurons; Psychology; Training data;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616205
