オサナ　ユウコ   Yuko Osana   長名　優子    所属   コンピュータサイエンス学部 コンピュータサイエンス学科    職種   准教授
発行・発表の年月	2000/07
形態種別	国際会議論文
査読	査読あり
標題	Knowledge processing system using improved chaotic associative memory
執筆形態	共著
掲載誌名	Proceedings of IEEE International Joint Conference on Neural Networks
著者・共著者	Y. Osana and M. Hagiwara
概要	In this paper, we propose a Knowledge Processing system using Improved Chaotic Associative Memory (KPICAM). The proposed KPICAM is based on an Improved Chaotic Associative Memory (ICAM) composed of chaotic neurons. In this research, the ICAM is applied to knowledge processing in which the knowledge is represented in a form of semantic network. The proposed KPICAM has the following features: (1) it can deal with the knowledge which is represented in a form of semantic　network; (2) it can deal with characteristics inheritance; (3) it is robust for noisy input.