Author/Authors :
ÇEVİK, Kerim Kürşat Niğde Üniversitesi - Bor Meslek Yüksek Okulu - Bilgisayar Teknolojileri Bölümü, Turkey , KOÇER, Hasan Erdinç Selçuk Üniversitesi - Teknik Eğitim Fakültesi - Elektronik ve Bilgisayar Eğitimi Bölümü, Turkey
Title Of Article :
A Soft Computing Application Based On Artificial Neural Networks Training by Particle Swarm Optimization
Abstract :
A software conducting the soft computing based diagnosis of breast cancer was presented in this study. This software applies Particle Swarm Optimization (PSO) and Artificial Neural Networks (ANN) techniques together. PSO was used in the learning algorithm of ANN which was used for classification. Breast cancer data set was taken from UCI (University of California, Irvine)’s database. According to the experimental results of our study, the ANN technique which realizes learning through PSO shows a better performance.
NaturalLanguageKeyword :
Soft computing , Particle swarm optimization , Artificial neural Networks , Breast cancer
JournalTitle :
Journal Of Natural and Applied Sciences
