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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 nonlinear problem of rainfall-runoff process has long been paid attention to by hydrologists. Hydrologists mostly study the problem of nonlinear hydrological simulation and prediction based on experimental methods, hydrodynamic methods and system identification methods. Based on the coding and decoding of “artificial neural network model” and “information theory”, a gray artificial neural network model is proposed and its application in short-term runoff forecasting is discussed.