An Optimized BP Neural Network Based on DS Evidential Reasoning on Heart Disease Prediction

Abstract:

BP neural network is a widely used neural network, with advantages as adaptability, fault tolerance and self-organization. However, BP neural network is difficult to determine the network structure, and easy to fall into local minimum points. In this paper, an optimized BP neural network was proposed based on DS, he advantages of DS Evidential Reasoning on uncertain information are used to improve the recognition rate and credibility of BP. Experiments on Heart Disease Data set shows the proposed method have good performance on run time, prediction accuracy and robustness.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 3342-3347
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.3342
• Online since: December 2012
• Authors: Nan Nan Xie, Fei Yan Chen, Kuo Zhao, Liang Hu
• Keywords: BP Neural Network (BPNN), DS Evidential Reasoning, Heart Disease Prediction

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