A Hybridized Artificial Neural Network and Evolutionary Algorithms for Classification of Breast Cancer Malignancy

ali bahadorinia¹ ahmad hajipour²

1) 1. Electronic engineering Ms.c, Hakim sabzevari university,
2) 2. Electrical and electronic engineering faculty of hakim sabzevari university,

Publication : International Conference on Researches in Science & Engineering(icrsie.com)
Abstract :
In the recent years, the use of Intelligent Systems in Engineering Sciences, especially in the diagnosis of numerous diseases, growing increasingly. In this paper, two smart strategies for classification of three various databases of breast cancer based- on combination structure of artificial neural networks and the Evolutionary Algorithms are used. The evolutionary used in this study are Imperialist Competitive Algorithm and Genetic Algorithm, that have been used for optimization of weight coefficients and bias to minimize error. The experimental results show that ANN-ICA classifier is superior to the other classifiers using three data set.
Keywords : Breast Cancer ANN Genetic Algorithm Imperialist Competitive Algorithm.