Open Access Open Access  Restricted Access Subscription or Fee Access

Application of Conversion Degree Function and SVM Regression in Precipitation Forecasting

Lili Chen, Hongjun Guo


For the purpose of analyzing and developing precipitation forecasting, the influence of historical factors on the prediction is fully considered. For the model of precipitation sequence with seasonal law, time series of precipitation are divided into a number of data windows with equal widths, and the similarity search is performed on them to find a data window whose running track is the most similar to that of the current time series’ according to the qualitative mapping and conversion degree function in attribute theory. When multiple similar data windows are presented in searching results, the secondary judgment will be made by the weighted sum model with variable weight based on attribute coordinate system to find the most similar data window which can be used for precipitation forecasting. If there are no historical factors for reference, the prediction will be made by using support vector machine regression to put precipitation time series fitting out.


precipitation forecasting, qualitative mapping, conversion degree function.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.