Application of Artificial Neural Networks for Temperature Forecasting

被引:0
|
作者
Hayati, Mohsen [1 ]
Mohebi, Zahra [1 ]
机构
[1] Razi Univ, Fac Engn, Dept Elect Engn, Kermanshah, Iran
关键词
Artificial neural networks; Forecasting; Weather; Multi-layer perceptron;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, the application of neural networks to study the design of short-term temperature forecasting (STTF) Systems for Kermanshah city, west of Iran was explored. One important architecture of neural networks named Multi-Layer Perceptron (MLP) to model STTF systems is used. Our study based on MLP was trained and tested using ten years (1996-2006) meteorological data. The results show that MLP network has the minimum forecasting error and can be considered as a good method to model the STTF systems.
引用
收藏
页码:275 / 279
页数:5
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