loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
Climate Prediction by SVM Based on Initial Conditions
Tianjin, China
August 14-August 16
ISBN: 978-0-7695-3735-1
The climate model is the crucial factor for agriculture. However, the climate variables, which were strongly corrupted by noises or fluctuations, are complicated process and can not be reconstructed by a common method. In the paper, we adapt the SVM to predict it. Specifically, we incorporate the initial condition on climate variables to the training of SVM. The numerical results show the effectiveness and efficiency of the approach.
Index Terms:
Climate prediction, SVM, Initial conditions
Citation:
Wang Deji, Xu Bo, Zhang Faquan, Li Jianting, Li Guangcai, Sun Bingyu, "Climate Prediction by SVM Based on Initial Conditions," fskd, vol. 5, pp.578-581, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
Usage of this product signifies your acceptance of the Terms of Use.