Knowledge processing system using multidirectional associative memory

Motonobu Hattori, Masafumi Hagiwara

Research output: Contribution to conferencePaper

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages1304-1309
Number of pages6
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
Duration: 1995 Nov 271995 Dec 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

  • Software

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    Hattori, M., & Hagiwara, M. (1995). Knowledge processing system using multidirectional associative memory. 1304-1309. Paper presented at Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6), Perth, Aust, .