Precipitation Forecast Based on WA-SVM Theory

Zhen Min Zhou

doi:10.4028/www.scientific.net/AMR.518-523.4039

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Precipitation Forecast Based on WA-SVM Theory

Precipitation Forecast Based on WA-SVM Theory

Abstract:

In order to improve the precision of medium-long term rainfall forecast, the rainfall estimation model was set up based on wavelet analysis and support vector machine (WA-SVM). It decomposed the original rainfall series to different layers through wavelet analysis, forecasted each layer by means of SVM, and finally obtained the forecast results of the original time series by composition. The model was used to estimate the monthly rainfall sequence in the watershed. Comparing with other method which only uses support vector machine(SVM), it indicates that the estimated accuracy was improved obviously.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

4039-4042

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.4039

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Online since:

May 2012

Authors:

Zhen Min Zhou

Keywords:

Forecast, Precipitation, Support Vector Machine (SVM), Wavelet Analysis

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References

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