Input Variables Selection of Forecasting Model Based on Neural Network
基于神经网络的预测模型中输入变量的选择

It is important to select input variables when the neural network forecasting model is proposed. In this paper, by using the autocorrelation function on input variables sets selection for neural network forecasting model, a systemic and scientific method for input variables sets selection is put forward. FFT is adopted to accomplish the speediness calculation, which enhances the maneuverability of this approach. A forecasting example is given, whose result indicates that the method is effective.