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