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以实测日径流资料为基础 ,首先判断时间序列的非线性性 ,而后利用神经网络理论非线性方法对实测的日径流非线性时间序列进行分析研究 ,以此说明非线性时间序列的建模与预测。
Based on the observed daily runoff data, the nonlinearity of the time series is firstly determined. Then, the nonlinear time series of the measured daily runoff are analyzed and studied by using the nonlinear theory of neural network theory to illustrate the modeling and prediction of nonlinear time series .