Information theory inspired weighted immune classification algorithm

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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. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Morkowski, M., & Nowicki, R. (2008). Information theory inspired weighted immune classification algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 652–660). https://doi.org/10.1007/978-3-540-69731-2_63

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