A MODIFIED NEURAL-NETWORK-BASED GM(1,1)

被引:0
|
作者
Yeh, Ming-Feng [1 ]
Chen, Ti-Hung [2 ]
Lu, Hung-Ching [3 ]
机构
[1] Lunghwa Univ Sci & Technol, Dept Elect Engn, Taoyuan, Taiwan
[2] Lunghwa Univ Sci & Technol, Dept Comp Informat & Network Engn, Taoyuan, Taiwan
[3] Tatung Univ, Dept Elect Engn, Taoyuan, Taiwan
关键词
Forecasting model; Gradient descent method; Grey model; Neural network; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Inspired by neural-network-based GM(1,1) (NN-GM(1,1)), this study attempts to drive a more simple and efficient learning rule to enhance the fitting/forecasting ability and convergence speed of the grey neural network. Simulation results on two real datasets show that the proposed modified NN-GM(1,1) performs better than the original NN-GM(1,1) in terms of fitting and forecasting accuracies. In addition, the modified NN-GM(1,1) has faster convergence speed.
引用
收藏
页码:1 / 5
页数:5
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