Real-Valued Negative Selection (RNS) for Classification Task

被引：0
|
作者：
Vilas Boas Oliveira, Luiz Otavio [1 ]
Drummond, Isabela Neves [1 ]
机构：
[1] Univ Fed Itajuba UNIFEI, BR-37500903 Itajuba, MG, Brazil
来源：
RECOGNIZING PATTERNS IN SIGNALS, SPEECH, IMAGES, AND VIDEOS | 2010年 / 6388卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：66 / 74
页数：9
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