Kohonen Feature Map Associative Memory with Refractoriness based on Area Representation

Authors:
Tomohisa Imabayashi;Yuko Osana
Affiliations:
Tokyo University of Technology, Hachioji, Tokyo, Japan;Tokyo University of Technology, Hachioji, Tokyo, Japan
Venue:
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Year:
2008

Citing 4
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Abstract

In this paper, we propose a Kohonen Feature Map Associative Memory with Refractoriness based on Area Representation. This model is based on the Kohonen Feature Map Associative Memory with Area Representation. The proposed model can realize one-to-many associations. Moreover, this model has enough robustness for damaged neurons when analog patterns are memoriezed. We carried out a series of computer experiments and confirmed the effectiveness of the proposed model.