Classification Using Two Layer Neural Network Back Propagation Algorithm

作     者：K. A. Mohamed Junaid K. A. Mohamed Junaid

作者机构：Department of Electronics & Instrumentation Engineering R.M.K. Engineering College Chennai India 

出 版 物：《Circuits and Systems》 (电路与系统（英文）)

年 卷 期：2016年第7卷第8期

页      面：1207-1212页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Breast Cancer Back Propagation Neural Network Mammogram Sonography 

摘      要：Worldwide breast cancer is the most common form of cancer death occurring in 12.6% of women. This paper presents a cost effective approach to classify the normal, malignant and benign tumor using two layer neural network back propagation algorithm. Back propagation algorithm is used to train the neural network. Parallelization techniques speed up the computation process and as a result two layer neural networks outperform the previous work in terms of accuracy. Breast cancer tumor database used for the testing purpose is from the CIA machine learning repository. The highest accuracy of 97.12% is achieved using the two layer neural network back propagation algorithm.