简要介绍了人工神经网络用于洪水预报的基本原理，对降雨径流预报的网络模型进行了改进。
This article presents the principle of ANN briefly in the application of flood forecast and an improved network algorithm of rainfall runoff forecasting.
为流域分布式降雨-径流模型提供了可靠的实际蒸散量模拟方法。
The research results provided an effective method for the distributed rainfall-runoff model in simulating actual evapotranspiration.
在生成数字流域的基础上，采用WMS嵌入的HEC - 1模型进行降雨径流模拟研究。
Based on digital basin, HEC-1 model, a part of hydrological models in WMS, was selected to simulate the rainfall-runoff process.
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