DocumentCode :
529827
Title :
Prediction of specific region cloud cover based on RBF neural networks
Author :
Lu, Fang ; Wang, Zhigang
Author_Institution :
Beijing Inst. of Appl. Meteorol., Beijing, China
Volume :
1
fYear :
2010
fDate :
28-31 Aug. 2010
Firstpage :
223
Lastpage :
226
Abstract :
This paper presents a method based on RBF neural networks to predict the specific region cloud cover, which has the feature of time serial and nonlinear. Using this method, we can train the RBF neural networks and find out the nonlinear relations among historical cloud cover data, to predict future time of cloud cover. Experiment results show that the method provided a kind of viable intelligent way for the quantitative prediction of cloud cover.
Keywords :
atmospheric techniques; clouds; neural nets; GMS-5; RBF neural networks; historical cloud cover data; specific region cloud cover; time serial; Artificial neural networks; Biological neural networks; Clouds; Meteorology; Neurons; Pixel; Training; GMS-5; RBF neural networks; prediction of cloud cover;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
Type :
conf
DOI :
10.1109/IITA-GRS.2010.5603252
Filename :
5603252
Link To Document :
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