塔里木河源流水资源变化趋势预测_stmopen 关键词】: 水资源量 PPR模型 塔里木河 [gap=888]Keywords】: water resources,PPR model,Tarim River
基于10个网页-相关网页
The results show that the forecasting precision of the PPR model is much better than that of stepwise regression (SR) model.
结果表明，PPR模型的预测效果明显优于逐步回归预测模型，对福建热带气旋年季频数具有较好的预测能力。
The results of application of PPR model to the precipitation prediction in three regions are better than that of stepwise regression for fitting and prediction.
在三个地区应用ppr进行降水量预测建模、模型的拟合及预留预测检验结果均好于逐步回归建模的相应结果。
The results from two cases of model prediction in water environment show better prediction effect and are compared with the project pursuit regressive (PPR) model.
通过水环境中的两个实例进行了预测应用，结果表明，预测效果较好，并与投影寻踪回归模型（PPR）进行了对比。
应用推荐