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. © 2012 Springer-Verlag.
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CITATION STYLE
Sato, H., & Osana, Y. (2012). Variable-sized Kohonen feature map probabilistic associative memory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7553 LNCS, pp. 371–378). https://doi.org/10.1007/978-3-642-33266-1_46
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