Chapter 5 introduces the forecasting effect of the long term runoff forecasting model.
第四章具体介绍了预测模型的数据库设计与实现。
This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.
采用湖南洛塔地区屋檐洞地下河系统降水—径流资料训练BP人工神经网络，建立了该系统的径流预测模型。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
将偏最小二乘回归与神经网络耦合，建立了径流量预报模型。
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