A Comparative Analysis Between Conventional Approaches and Connectionist Methods in Pattern Recognition Tasks

O. Ludwig Júnior, L. Schnitman (Brazil), J.A.M. Felippe de Souza (Portugal), and H. Lepikson (Brazil

Keywords

selforganizing maps, neural networks, patternrecognition, statistics, artificial intelligence.

Abstract

The purpose of this work is to compare statistical and connectionist techniques for patterns recognition. Connectionist approach is based on feedforward artificial neural network, self-organizing maps or hybrid algorithms which are also compared. An alternative preprocessing method to pattern recognition problems is also suggested.

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