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The observed data of daily rainfall values in Guangxi (China) is used as a case study for the proposed model. The computing results show that the present model yields better forecasting performance in this case study, compared to other rainfall-forecasting models. Our model may provide a promising alternative for forecasting rainfall application. <\/jats:p>","DOI":"10.1142\/s1469026810002793","type":"journal-article","created":{"date-parts":[[2010,5,24]],"date-time":"2010-05-24T05:37:10Z","timestamp":1274679430000},"page":"87-104","source":"Crossref","is-referenced-by-count":43,"title":["A HYBRID SUPPORT VECTOR REGRESSION APPROACH FOR RAINFALL FORECASTING USING PARTICLE SWARM OPTIMIZATION AND PROJECTION PURSUIT TECHNOLOGY"],"prefix":"10.1142","volume":"09","author":[{"given":"JIANSHENG","family":"WU","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Liuzhou Teacher College, Liuzhou, Guangxi 545003, P. R. 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