文章基本信息

标题：Diagnosis of Major Depressive Disorder with Neural Network Models
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作者：Ansari, A. ; Khalili, M.
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2014
卷号：5
期号：5
页码：1183-1186
出版社：IJECCE
摘要：Artificial neural network is widely used in diagnosing diseases. One of the advantages of this network can be traced to the lack of fatigue or burnout. Present paper is aimed to achieve practical and tangible approach in the field of neural networks has been developed. So that Psychiatrists with little knowledge about computers and programming by reading the content and efficiency of artificial neural networks realize and are interested in using them. In this article trying to design the models of neural network such as RBF and SVM, then compare the error of models for select the best model for diagnosis of major depressive. The SVM model with the 14.16% error is better for training the neural network
关键词：Major Depressive; Neural Network; SVM; RBF