基于BP神经网络的塔里木河月流量预报研究

对水文历史数据采用规格化方法处理后用BP神经网络模拟训练,建立了神经网络预报模型,并应用实例验证神经网络模型,结果表明运用该神经网络模型预测具有可行性和实用性.月流量预报研究可为塔里木河流域水资源的合理利用以及水权目标管理提供科学依据.

Study on month water flow forecast of Tarim River based on BP neural network

This article uses BP neural network to establish neural network model after standardizing historical hydrologic data, and gives a instance to validate this model.The result indicates that this model has feasibility and practicality. Month water flow forecast provides scientific basis for reasonable use and water right target management of the water resources of Tarim River Area.