Knowledge processing system using multidirectional associative memory

Motonobu Hattori, Masafumi Hagiwara

研究成果: Paper査読

9 被引用数 (Scopus)

抄録

A Knowledge Processing system using Multidirectional Associative Memory (KP-MAM) is proposed mad simulated. The KP-MAM uses distributed knowledge representation and can represent knowledge stored in a form of semantic network. In order to realize knowledge processing system using distributed representation, the KP-MAM enables the following five functions: associations of three-tuple relation, characteristics inheritance, exception processing, many-to-many associations and high storage capacity. The proposed KP-MAM has the following features: 1) It can realize knowledge processing using distributed representation; 2) It is robust for noisy inputs; 3) It guarantees recall of all training data owing to Quick Leaning algorithm; 4) It has high storage capacity.

本文言語English
ページ1304-1309
ページ数6
出版ステータスPublished - 1995 12月 1
イベントProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
継続期間: 1995 11月 271995 12月 1

Other

OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CityPerth, Aust
Period95/11/2795/12/1

ASJC Scopus subject areas

  • ソフトウェア

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