Stream system is a critical and basic unit of watershed management.
河溪系统是流域管理中最基本和最重要的单元。
It is one of the major tasks to execute query timely with less performance and precise loss in a data stream system when the system resource is limited.
如何在资源有限的情况下,快速执行查询处理并最大限度地减少查询精度的损失是数据流查询处理的主要任务之一。
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。
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