Feed forward network with back propagation algorithm for detection of breast cancer

The paper presents Artificial Neural Network techniques that are used to determine the probability for the detection of breast cancer using feed forward neural networks trained by a back propagation algorithm. During training the back propagation were independently applied to optimize, to evolve inter connecting weights of the ANN´s. This paper explored an ANN using 25 features like (12 patient history, 13 physical findings, 4 mammography findings) and finally the result of the biopsy to determine the probability for the presence of breast cancer.