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Intelligent multi-objective classifier for breast cancer diagnosis based on multilayer perceptron neural network and differential evolution

Ibrahim, A. O. and Shamsuddin, S. M. and Saleh, A. Y. and Abdelmaboud, A. and Ali, A. (2016) Intelligent multi-objective classifier for breast cancer diagnosis based on multilayer perceptron neural network and differential evolution. In: 1st International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering, ICCNEEE 2015, 7-9 Sept 2015, Khartoum, Sudan.

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Abstract

Diagnosis of breast cancer disease depends on human experience. It is time consuming and has an element of human error in the results. This paper presents an intelligent multi-objective classifier to Diagnose breast cancer diseases using multilayer perceptron (MLP) neural network with Differential Evolution technique. The Differential Evolution (DE) algorithm is used to solve multi-objective optimization problems by tuning MLP neural network parameters. The proposed intelligent multi-objective classifier is used for diagnosis of breast cancer disease. In addition, it utilizes the advantages of multi-objective differential evolution to optimize the number of hidden nodes in the hidden layer of the MLP neural network and also to reduce network error rate. The results indicate that the proposed intelligent multi-objective classifier is viable in breast cancer diagnosis.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Breast Cancer Diagnosis, multilayer perceptron neural network, Multiobjective Differential Evolution
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:73470
Deposited By: Mohd Zulaihi Zainudin
Deposited On:23 Nov 2017 05:09
Last Modified:23 Nov 2017 05:09

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