PERFORMANCE ANALYSIS OF ARTIFICIAL INTELLIGENCE TECHNIQUES APPLIED IN BREAST CANCER DATA SET.

Manoel Nascimento Oliveira, Jose Claudio Nascimento, Felipe Barros Muniz, Ruann Campos Farrapo

Resumo


In this work, a comparative study was carried out betweentwo classification methods:  The Multi layer Perceptron Ar- tificial Neural Network (MLP ANN) and the method of clas- sification of the Nearest Neighbors, used in the classification of the diagnosis of breast cancer.  The data used in this work were taken from the UCI Machine Learning Repository and contains numerical data extracted from mammography im- ages.In  addition,  the  results  were  evaluated  based  on  thecross-validation strategy.

Palavras-chave


Breast Cancer; Artificial Neural Neural Network; Nearest Neighbors; Classification; Machine Learning

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Revista de Sistemas e Computação. ISSN 2237-2903