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.
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Sato, H., Osana, Y. (2012). Variable-Sized Kohonen Feature Map Probabilistic Associative Memory. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds) Artificial Neural Networks and Machine Learning – ICANN 2012. ICANN 2012. Lecture Notes in Computer Science, vol 7553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33266-1_46
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DOI: https://doi.org/10.1007/978-3-642-33266-1_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33265-4
Online ISBN: 978-3-642-33266-1
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