Neural implementation of Dijkstra's algorithm

Authors:
E. Merida-Casermeiro;J. Muñoz-Pérez;R. Benítez-Rochel
Affiliations:
Dept. Matemática Aplicada, Universided de Málaga;Dept. Ciencias de la Computatión, Universided de Málaga;Dept. Ciencias de la Computatión, Universided de Málaga
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

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Abstract

This paper presents an extension of the Self Organizing Map model called Associative SOM that is able to process different types of input data in separated data-paths. The ASOM model can easily deal with situations of incomplete data-patterns and incorporate class labels for supervisory purposes. The ASOM is successfully compared with Multilayer Perceptrons in the incremental classification of six erythemato-squamous diseases, where only partial data is available in successive steps.