Study on the Optimal Parameters of Artificial Neural Networks by Applying Uniform Design

被引：0
|
作者：
Lin, Ta-Hsiang [1 ]
Chou, Jyh-Horng [1 ]
机构：
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung, Taiwan
来源：
2016 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE) | 2016年
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D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
When an artificial neural network (ANN) is used for modeling applications, the architecture and parameters of the network, like number of units and number of layers in each layer, need to be determined. In this paper, the uniform design is used to reduce the number of experiments to find the important factors, and the regression analysis methodology is then applied to find more accurate combination of design parameters for optimizing the ANN modeling.
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页数：2
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