计算机与数字工程Issue(8)：1378-1381,1551,5.DOI:10.3969/j.issn1672-9722.2015.08.003
基于广义回归神经网络的煤炭企业成本预测
Prediction of Coal Enterprise Cost Based on Generalized Tegression Neural Network
孙方元 1卫晨2
作者信息
- 1. 西安邮电大学通信与信息工程学院 西安 710061
- 2. 西安邮电大学管理工程学院 西安 710061
- 折叠
摘要
Abstract
The relative factors about the prediction of the coal enterprise cost are complex .The research of the predic-tion method of coal enterprise cost based on generalized regression neural network is proposed in this paper ,in order to solve the inapplicability and inaccuracy of traditional cost prediction method in the coal enterprise .A network model has been built through generalized regression neural network ,in the case of material cost and the eight key affecting factors of the standard-ization sample data as input data .Meanwhile ,the results are predicted by Matlab simulation .It shows that the cost predic-tion method is scientific and accurate .关键词
煤炭企业/成本预测/广义回归神经网络Key words
coal enterprise/cost prediction/generalized regression neural network分类
信息技术与安全科学引用本文复制引用
孙方元,卫晨..基于广义回归神经网络的煤炭企业成本预测[J].计算机与数字工程,2015,(8):1378-1381,1551,5.
