Real-valued negative selection (RNS) for classification task

Authors:
Luiz Otávio Vilas Boas Oliveira;Isabela Neves Drummond
Affiliations:
Universidade Federal de Itajubá, Itajubá, MG, Brazil;Universidade Federal de Itajubá, Itajubá, MG, Brazil
Venue:
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Year:
2010

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Abstract

This work presents a classification technique based on artificial immune system (AIS). The method consists of a modification of the real-valued negative selection (RNS) algorithm for pattern recognition. Our approach considers a modification in two of the algorithm parameters: the detector radius and the number of detectors for each class. We present an illustrative example. Preliminary results obtained shows that our approach is promising. Our implementation is developed in Java using the Weka environment.