Kemal Akyol1, *
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 619-632, 2020, DOI:10.32604/cmes.2020.07632
- 01 February 2020
Abstract Parkinson’s disease is a serious disease that causes death. Recently, a new
dataset has been introduced on this disease. The aim of this study is to improve the
predictive performance of the model designed for Parkinson’s disease diagnosis. By and
large, original DNN models were designed by using specific or random number of
neurons and layers. This study analyzed the effects of parameters, i.e., neuron number
and activation function on the model performance based on growing and pruning
approach. In other words, this study addressed the optimum hidden layer and neuron
numbers and ideal activation More >
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