文章基本信息

标题：A DECISION SUPPORT SYSTEM FOR PREDICTION OF THYROID DISEASE - A COMPARISON OF MULTILAYER PERCEPTRON NEURAL NETWORK AND RADIAL BASIS FUNCTION NEURAL NETWORK
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作者：SHAIK.RAZIA ; M.R.NARASINGARAO ; G R SRIDHAR 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：80
期号：3
出版社：Journal of Theoretical and Applied
摘要：Thyroid disease is a major cause of concern in medical diagnosis and the prediction / onset of which is a difficult proposition in medical research. In this research, we use two Neural Network models Multilayer perceptron (MLP) and Radial Basis Function Networks (RBF) for the prediction of onset of thyroid disease using the data generated in real life. The MLP is trained and tested with Back-propagation algorithm whereas RBF networks was trained and tested with SPSS software. Thyroid disease database which had been published and was used for empirical comparisons and the results show that MLP and RBF show the almost same kind of results in diagnosing the thyroid disease.
关键词：Neural networks; Radialbasisfunction Network; Multilayer Perceptron; Thyroid Disease; Back-Propagation; Medical Diagnosis.