Applying Adaptive Logic Networks to character recognition

Authors:
A. de Carvalho;M. C. Fairhurst
Affiliations:
Departamento de Ciências de Computação e Estatística, Universidade de São Paulo, CP 668, Caixa Postal 13560-970, São Carlos, SP, Brazil;Electronic Engineering Laboratories, University of Kent, Canterbury, Kent, CT2 7NT, United Kingdom
Venue:
Pattern Recognition Letters
Year:
1998

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Abstract

This paper presents and analyses the performance of Adaptive Logic Networks (Armstrong and Gecsei, 1979), ALN, in a character recognition task. ALN is a weightless neural network model whose nodes are grouped in binary trees. The paper investigates the performance of ALN networks when key parameters are modified.