灰色人工神经网络模型及其在径流短期预报中的应用

Grey Artificial Nerve Network Model and the Approach in Flood Short term Forecast

降雨－径流过程的非线性问题早已被广大水文学者所注意，广大水文学者分别基于实验方法、水动力学方法以及系统识别方法研究水文非线性模拟及预报问题。本文另辟溪径，结合“人工神经网络模型”与“信息论”中的编码、译码，提出一种灰色人工神经网络模型，并就其在径流短期预报中的应用进行了初步的探讨。

The noliner problem of rain flow process havebeen noticed by hydrologiers earily. Hydrologiers researched the hydrological noliner modeling and forecasting problem by means of experimential method hydrodynamics method, and system identification method in special. The authors of this paper submit an new method, combining the artificial nerve network model and the coder,code converter of information theory. Also, this paper discussed the approach of model used in flow short term forecast.