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.
中期模型优化的时间跨度等于中期入库径流预报的预见期（3-7天），优化时段为一天。
The time span of middle-term optimization model equal foreseeable period of runoff forecasting (3 to 7 days), and the optimization period is one day.
这说明运用马尔可夫模型进行河径流量的丰枯状态预报是有效可行的。
So, it is practical to use the sequential clustering and Markov model to forecast the river runoff .
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