Neural network parameters optimization with genetic algorithm to improve liver disease estimation
H Harafani, I Suryani, N Lutfiyana - Journal of Physics …, 2020 - iopscience.iop.org
H Harafani, I Suryani, N Lutfiyana
Journal of Physics: Conference Series, 2020•iopscience.iop.orgLiver disease is an important public health problem. Over the past view decades machine
learning has develop rapidly, and it has been introduced for application in medical-related
fields. In this study we use neural network method to solve regression task of liver disorder
dataset. Genetic algorithm applied for optimize NN parameters to improve the estimation
performance value. NN-GA performance results show the most superior value compared to
another methods.
learning has develop rapidly, and it has been introduced for application in medical-related
fields. In this study we use neural network method to solve regression task of liver disorder
dataset. Genetic algorithm applied for optimize NN parameters to improve the estimation
performance value. NN-GA performance results show the most superior value compared to
another methods.
Abstract
Liver disease is an important public health problem. Over the past view decades machine learning has develop rapidly, and it has been introduced for application in medical-related fields. In this study we use neural network method to solve regression task of liver disorder dataset. Genetic algorithm applied for optimize NN parameters to improve the estimation performance value. NN-GA performance results show the most superior value compared to another methods.
iopscience.iop.org
以上显示的是最相近的搜索结果。 查看全部搜索结果