An application of multilayer neural network on hepatitis disease diagnosis using approximations of sigmoid activation function

Objective: Implementation of multilayer neural network (MLNN) with sigmoid activation function for the diagnosis of hepatitis disease. Methods: Artificial neural networks (ANNs) are efficient tools currently in common use for medical diagnosis. In hardware based architectures activation functions...

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Bibliographic Details
Main Authors: Onursal Çetin, Feyzullah Temurtaş, Şenol Gülgönül
Format: Article
Language:English
Published: Dicle University Medical School 2015-06-01
Series:Dicle Medical Journal
Subjects:
Online Access:http://www.diclemedj.org/upload/sayi/36/Dicle%20Med%20J-02423.pdf