Radial Basis Function Neural Network and Logistic Regression Analysis For Prognostic Classification of Coronary Artery Disease

Objective: Artificial Neural Networks (ANNs) trained with backpropagation learning algorithm have been used commonly in previous studies. This study presents radial basis function neural network (RBFNN), a special kind of neural network, and logistic regression analysis (LRA) for prog-nostic classif...

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書誌詳細

出版年:	Ankara Üniversitesi Tıp Fakültesi Mecmuası
主要な著者:	Şeref Sağıroglu, Cemil Çolak, M. Cengiz Çolak, M. Ali Atıcı, Necati Alasulu
フォーマット:	論文
言語:	英語
出版事項:	Ankara University Press 2007-09-01
主題:	Coronary artery disease Classification Logistic regression analysis Radial basis function neural network.
オンライン･アクセス:	http://ankaratipfakultesimecmuasi.net/archives/archive-detail/article-preview/radial-basis-function-neural-network-and-logistic-/18688