Variable-Sized kohonen feature map probabilistic associative memory

Authors:
Hiroki Sato;Yuko Osana
Affiliations:
Tokyo University of Technology, Hachioji, Tokyo, Japan;Tokyo University of Technology, Hachioji, Tokyo, Japan
Venue:
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Year:
2012

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Abstract

In this paper, we propose a Variable-sized Kohonen Feature Map Probabilistic Associative Memory (VKFMPAM). The proposed model can realize the probabilistic association for the training set including one-to-many relations, and neurons can be added in the Map Layer if necessary. We carried out a series of computer experiments and confirmed the effectiveness of the proposed model.