%0 Journal Article
%T Input Variables Selection of Forecasting Model Based on Neural Network<br>基于神经网络的预测模型中输入变量的选择
%A YANG Kui-He WANG Bao-Shu ZHAO Ling-Ling
%A <br>杨奎河
%A 王宝树
%A 赵玲玲
%J 计算机科学
%D 2003
%I 
%X 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.
%K Neural network
%K Input variables
%K Forecasting<br>神经网络
%K 预测模型
%K 输入变量
%K 数据序列
%K 数学模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=30EAA2F16024DE09&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=12DC19455C3A2FA8&eid=B0EBA60720995721&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6