Knowledge Processing system using Improved Chaotic Associative Memory

Yuko Osana, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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 the conventional chaotic neural network, when a stored pattern is given to the network as an external input continuously, around the input pattern is searched. The ICAM makes use of this property in order to separate superimposed patterns and to deal with many-to-many associations. 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. A series of computer simulations shows the effectiveness of the proposed system.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherIEEE
Pages579-584
Number of pages6
Volume5
Publication statusPublished - 2000
EventInternational Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy
Duration: 2000 Jul 242000 Jul 27

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'2000)
CityComo, Italy
Period00/7/2400/7/27

Fingerprint

Data storage equipment
Processing
Semantics
Neurons
Neural networks
Computer simulation

ASJC Scopus subject areas

  • Software

Cite this

Osana, Y., & Hagiwara, M. (2000). Knowledge Processing system using Improved Chaotic Associative Memory. In Proceedings of the International Joint Conference on Neural Networks (Vol. 5, pp. 579-584). IEEE.

Knowledge Processing system using Improved Chaotic Associative Memory. / Osana, Yuko; Hagiwara, Masafumi.

Proceedings of the International Joint Conference on Neural Networks. Vol. 5 IEEE, 2000. p. 579-584.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Osana, Y & Hagiwara, M 2000, Knowledge Processing system using Improved Chaotic Associative Memory. in Proceedings of the International Joint Conference on Neural Networks. vol. 5, IEEE, pp. 579-584, International Joint Conference on Neural Networks (IJCNN'2000), Como, Italy, 00/7/24.
Osana Y, Hagiwara M. Knowledge Processing system using Improved Chaotic Associative Memory. In Proceedings of the International Joint Conference on Neural Networks. Vol. 5. IEEE. 2000. p. 579-584
Osana, Yuko ; Hagiwara, Masafumi. / Knowledge Processing system using Improved Chaotic Associative Memory. Proceedings of the International Joint Conference on Neural Networks. Vol. 5 IEEE, 2000. pp. 579-584
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