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投影寻踪回归模型及其在降水预测中的应用
Model of projection pursuit regression and its application to prediction of precipitation
【摘要】 介绍了投影寻踪回归 (PPR)预测建模的基本思想和算法 ,并将投影寻踪混合回归(PPMR)和逐步回归 (SR)应用于降水预测数值试验 ,结果表明 ,PPMR模型的拟合和预测效果均优于SR模型的相应效果。
【Abstract】 The main idea and algorithm of the projection pursuit regression (PPR) based on SMART are introduced.The numerical test of precipitation prediction is made of the projection pursuit regression (PPR) based on SMART are introduced.The numerical test of precipitation prediction is made by using projection pursuit multi dimension regression and stepwise regression(SR). The results show that the precision of PPR model are much better than those of SR model in both fitting and prediction.
【关键词】 投影寻踪;
投影寻踪回归;
逐步回归;
降水预测;
【Key words】 projection pursuit; projection pursuit regression; stepwise regression; precipitation prediction;
【Key words】 projection pursuit; projection pursuit regression; stepwise regression; precipitation prediction;
【基金】 国家自然科学基金!资助项目(49471048)
- 【文献出处】 成都气象学院学报 ,JOURNAL OF CHENGDU INSTITUTE OF METEOROLOGY , 编辑部邮箱 ,2000年03期
- 【分类号】P457.6
- 【被引频次】9
- 【下载频次】280