机电工程技术Issue(9)：23-26,95,5.DOI:10.3969/j.issn.1009-9492.2014.09.006
神经网络结合定性预测的订单预测方法研究
Research on Forecast Method of Order with the Combination of Neural Network and Qualitative Forecasting
邓晖飞 1苏平 1徐晟逸1
作者信息
- 1. 广东工业大学机电工程学院，广东广州 510006
- 折叠
摘要
Abstract
According to the data of order’ s nonlinear characteristics, as well as be affected by the dynamic market and exist the situation of training samples limited , the method of ANN qualitative forecasting is proposed that the neural network combined with the qualitative forecasting method to forecast orders. This paper introduced the Newton method and competitive learning algorithm based on traditional BP neural network to improve the convergence rate and the circumstance of traditional BP neural network is easy to fall into local minimum values. With the actual situation of order forecast, list three forms of qualitative forecast combined with neural networks and the application of them. Finally, through the analysis of example show the method is feasible and can effectively improve the forecasting accuracy.关键词
BP神经网络/定性预测/订单预测/结合Key words
BP neural network/qualitative prediction/order forecasting/combination分类
信息技术与安全科学引用本文复制引用
邓晖飞,苏平,徐晟逸..神经网络结合定性预测的订单预测方法研究[J].机电工程技术,2014,(9):23-26,95,5.
