A Hybridized Artificial Neural Network andEvolutionary Algorithms for Classification of BreastCancer Malignancy

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

کلیدواژه ها:

Breast Cancer ، ANN ، Genetic Algorithm ، Imperialist Competitive Algorithm