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Predicting patients with heart disease by using an improved back-propagation algorithm

Mohd Nawi, Nazri and Ghazali, Rozaida and Mohd Salleh, Mohd Najib (2011) Predicting patients with heart disease by using an improved back-propagation algorithm. Journal of Computing, 3 (2). ISSN 2151-9617

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A study on improving training efficiency of Artificial Neural Networks algorithm was carried out throughout many previous works. This paper presents a new approach to improve the training efficiency of back propagation neural network algorithms. The proposed algorithm (GDM/AG) adaptively modifies the gradient based search direction by introducing the value of gain parameter in the activation function. It has been shown that this modification significantly enhance the computational efficiency of training process. The proposed algorithm is generic and can be implemented in almost all gradient based optimization processes. The robustness of the proposed algorithm is shown by comparing convergence rates and the effectiveness of gradient descent methods using the proposed method on heart disease data.

Item Type: Article
Uncontrolled Keywords: back propagation; search direction; adaptive gain; effectiveness; computational efficiency
Subjects: Q Science > QA Mathematics > QA75 Calculating machines > QA75.5 Electronic computers. Computer science
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 07 Feb 2013 09:26
Last Modified: 07 Feb 2013 09:26
URI: http://eprints.uthm.edu.my/id/eprint/2972
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