基于逐步回归的投影寻踪预报模型研究
PP Forecast Model Research Based On Stepwise Regression
本文采用传统的中长期水文预报方法——逐步回归和新方法——投影寻踪技术相结合的方法，建立预报模型。利用长江宜昌站一月流量资料和逐月气候资料，研究预报模型的可行性和实用性。研究表明，模型预报精度均在20%以内，效果较好，具有一定的实用价值。
his paper adopted a traditional medium or long range hydrologic forecast method-stepwise regression combination with a new method-PP technique, built a forecast model. Studied the feasibility and practicality of the forecas model by using January amount of runoff material and the climatic data in Yangtze River Yichang station. The study showed that the model\
李琪
水利工程基础科学
单相关系数逐步回归投影寻踪模型遗传算法
simple correlation coefficientPP modelstepwise regressiongenetic algorithm.
李琪.基于逐步回归的投影寻踪预报模型研究[EB/OL].(2009-10-26)[2025-08-17].http://www.paper.edu.cn/releasepaper/content/200910-516.点此复制
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