Information Theory Inspired Weighted Immune Classification Algorithm

Authors:
Maciej Morkowski;Robert Nowicki
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200 and Department of Artificial Intelligence, Academy of Humanities and Economics in Łód ...
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

This article presents an example of a handwritten numbers classifier based on the immune system. We study mutual relations between the system operation parameters, as well as new mechanisms introduced in order to make the system work faster. To achieve the goal the weights inspired by the information theory have been inserted to the immune system.