A Hybridized Artificial Neural Network andEvolutionary Algorithms for Classification of BreastCancer Malignancy
عنوان مقاله: A Hybridized Artificial Neural Network andEvolutionary Algorithms for Classification of BreastCancer Malignancy
شناسه ملی مقاله: ICRSIE01_266
منتشر شده در کنفرانس بین المللی پژوهش در علوم و مهندسی در سال 1395
شناسه ملی مقاله: ICRSIE01_266
منتشر شده در کنفرانس بین المللی پژوهش در علوم و مهندسی در سال 1395
مشخصات نویسندگان مقاله:
Ali Bahadorinia - Electronic engineering Ms.c, Hakim sabzevari university
Ahmad Hajipour - Electrical and electronic engineering faculty of hakim sabzevari university,
خلاصه مقاله:
Ali Bahadorinia - Electronic engineering Ms.c, Hakim sabzevari university
Ahmad Hajipour - Electrical and electronic engineering faculty of hakim sabzevari university,
In the recent years, the use of Intelligent Systems in Engineering Sciences, especially inthe diagnosis of numerous diseases, growing increasingly. In this paper, two smartstrategies for classification of three various databases of breast cancer based- oncombination structure of artificial neural networks and the Evolutionary Algorithms areused. The evolutionary used in this study are Imperialist Competitive Algorithm andGenetic Algorithm, that have been used for optimization of weight coefficients and biasto minimize error. The experimental results show that ANN-ICA classifier is superior tothe other classifiers using three data set
کلمات کلیدی: Breast Cancer, ANN, Genetic Algorithm, Imperialist Competitive Algorithm
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/536956/