Title :
Study of Prognostic Method for Distributive Patterns of Summer Rainfall Based on Fuzzy Support Vector Machine
Author :
Desheng Fu ; Liangliang Xu
Author_Institution :
Network Monitoring Eng. Center of Jiangsu Province, Nanjing, China
Abstract :
Business practices over the years show that three types of rainfall patterns basically reflect the characteristics of summer rainfall in eastern China, and have great practical value for business forecasting. Therefore, in this paper, on the basis of one-versus-one support vector machine multi-classification algorithm, combining with the fuzzy support vector machine, a new model is put forward, and we apply it to the prognosis of summer rainfall pattern. The experiments show that the model has better results than the ordinary one-versus-one SVM multi-classification method and the traditional statistical method on the prognosis experiments of summer rainfall pattern.
Keywords :
business data processing; climate mitigation; fuzzy set theory; geophysics computing; monsoons; pattern classification; rain; support vector machines; weather forecasting; East Asian monsoon climate zone; business forecasting; business practices; distributive summer rainfall patterns; eastern China; fuzzy support vector machine; one-versus-one support vector machine multiclassification algorithm; prognostic method; statistical method; summer rainfall pattern forecasting model; summer rainfall pattern prognosis; weather forecasting problems; Accuracy; Forecasting; Kernel; Ocean temperature; Predictive models; Support vector machines; Training; fuzzy support vector machine; multi-class classification; prognostic method; summer rainfall pattern;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.206
