Application of Support Vector Machine Method in Winter Temperature Forecast of Zhengzhou

Suping Li · 2006

Normalizing the 74 kinds of characteristic quantity on circulation which are broadly used in weather forecast,the author proceeds a widespread relation check between these characteristic quantity and the winter temperature of Zhengzhou.Considering the decadal temperature variability,he builds a reasoning model on Zhengzhou's wintertime temperature anomalous trend prediction by making use of the two-classification method of SVM.Besides,he makes a test about how much the number of the factors and the decadal variability influence upon the forecast model.

Read the paper · More papers on PaperTik