Associative memory system for sequential learning using reliability of memorized patterns

Systems and Computers in Japan

Volumn 30, Issue 9, 1999, Pages 8-16

  Yoshizawa, Shinichi ^a   Doki, Shinji ^a   Okuma, Shigeru ^a,b  

^a NAGOYA UNIVERSITY   (Japan)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEMORIZED PATTERNS; OJA RULE; SEQUENTIAL LEARNING;

COMPUTER SIMULATION; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; STORAGE ALLOCATION (COMPUTER);

ASSOCIATIVE STORAGE;

EID: 0032592637     PISSN: 08821666     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1520-684X(199908)30:9<8::AID-SCJ2>3.0.CO;2-C     Document Type: Article

References (6)

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2. Kouda T et al. Supplemental learning on artificial neural networks using adaptive segmentation of quantizer neuron architecture. Tech Rep IEICE 1991;NC91-52:29-35. (in Japanese)
3. Carpenter GA, Grossberg S. The ART of adaptive pattern recognition by a self-organizing neural network. IEEE Comput 1988;21:77-88.
4. Matsuoka K et al. The learning of linear neural nets with anti-Hebblan rules. Trans IEICE 1995;J78-D-I:661-669. (in Japanese)
5. Hertz J, Krogh A, Palmer RG. Introduction to the theory of neural computation. Addison - Wesley; 1991.
6. Kohonen T. Self-organizing maps. Springer; 1997.