GENETIC ALGORITHM FOR FEATURE-SELECTION FOR PARALLEL CLASSIFIERS

被引：21
作者：
KUNCHEVA, L
机构：
[1] Central Laboratory of Bioinstrumentation and Automation, Bulgarian Academy of Sciences, 1113 Sofia, Acad. G. Bonchev Street
来源：
INFORMATION PROCESSING LETTERS | 1993年 / 46卷 / 04期
关键词：
PARALLEL ALGORITHMS; PATTERN RECOGNITION; GENETIC ALGORITHM; COMBINATORIAL PROBLEMS;
D O I：
10.1016/0020-0190(93)90021-Z
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A way to select a combination of feature subsets serving as inputs for a parallel classifier is described. A genetic algorithm with a properly modified fitness function is used. Experimental results with three sets of real data from internal, neonatal and aviation medicine are reported.
引用
收藏
页码：163 / 168
页数：6
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