摘要
It is important to select input variables when the neural network forecasting model is proposed. In this pa-per, by using the autocorrelation function on input variables sets selection for neural network forecasting model, asystemic and scientific method for input variables sets selection is put forward. FFT is adopted to accomplish thespeediness calculation, which enhances the maneuverability of this approach. A forecasting example is given, whoseresult indicates that the method is effective.
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.
出处
《计算机科学》
CSCD
北大核心
2003年第8期139-140,143,共3页
Computer Science
