مهندسی برق و الکترونیک ایران, Year (2005-1)

Title : ( Intelligent and Robust Genetic Algorithm Based Classifier )

Authors: S. H. Zahiri , Habib Rajabi Mashhadi , Seyed Alireza Seyedin ,

Citation: BibTeX | EndNote

The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experimentally that the proposed IRGA-classifier has removed two important weak points of the conventional GA-classifiers. These problems are the large number of training points and the large number of iterations to achieve a comparable performance with the Bayes classifier, which is an optimal conventional classifier. Three examples have been chosen to compare the performance of designed IRGA-classifier to conventional GA-classifier and Bayes classifier. They are the Iris data classification, the Wine data classification, and radar targets classification from backscattered signals. The results show clearly a considerable improvement for the performance of IRGA-classifier compared with a conventional GA-classifier.

Keywords

, Intelligent genetic classifiers, robust genetic classifiers, fuzzy controller, genetic algorithm, optimum decision
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@article{paperid:1006589,
author = {S. H. Zahiri and Rajabi Mashhadi, Habib and Seyedin, Seyed Alireza},
title = {Intelligent and Robust Genetic Algorithm Based Classifier},
journal = {مهندسی برق و الکترونیک ایران},
year = {2005},
month = {January},
issn = {1735-7152},
keywords = {Intelligent genetic classifiers; robust genetic classifiers; fuzzy controller; genetic algorithm; optimum decision hyperplanes.},
}

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%0 Journal Article
%T Intelligent and Robust Genetic Algorithm Based Classifier
%A S. H. Zahiri
%A Rajabi Mashhadi, Habib
%A Seyedin, Seyed Alireza
%J مهندسی برق و الکترونیک ایران
%@ 1735-7152
%D 2005

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