Chaotic complex-valued bidirectional associative memory

Authors:
Yuichi Yano;Yuko Osana
Affiliations:
Tokyo University of Technology, Hachioj, Tokyo, Japan;Tokyo University of Technology, Hachioj, Tokyo, Japan
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

Citing 2
Cited 2

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Chaotic complex-valued multidirectional associative memory with variable scaling factor

ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Bidirectional associative memories: Different approaches

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Abstract

In this paper, we propose a Chaotic Complex-valued Bidirectional Associative Memory (CCBAM) which can realize one-to-many associations of multi-valued patterns. The proposed model is based on the Bidirectional Associative Memory, and is composed of complex-valued neurons and chaotic complex-valued neurons. In the proposed model, associations of multi-valued patterns are realized by using complex-valued neurons, and one-to-many associations are realized by using chaotic complex-valued neurons. We carried out a series of computer experiments and confirmed that the proposed model can realize one-to-many associations of multi-valued patterns.