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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.566
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||