首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于BP神经网络的煤炭企业可持续发展评价
引用本文:徐君,杜文,曾旗.基于BP神经网络的煤炭企业可持续发展评价[J].西南交通大学学报,2005,40(3):375-378,384.
作者姓名:徐君  杜文  曾旗
作者单位:1. 西南交通大学交通运输学院,四川,成都,610031;河南理工大学经济管理系,河南,焦作,454000
2. 西南交通大学交通运输学院,四川,成都,610031
3. 河南理工大学经济管理系,河南,焦作,454000
基金项目:河南省自然科学基金资助项目(994072100)
摘    要:在分析煤炭企业可持续发展评价方法的基础上,建立了煤炭企业可持续发展评价指标体系,构建了基于误差反向传播算法(BP算法)的多层前向神经网络模型.为减小希望输出与实际输出之间的误差,从输出层神经元到输入层神经元逐层反向修正各连接权,并在网络训练学习的过程中不断执行误差反向传播修正,以提高网络对输入模式响应的正确率.通过算例验证了运用BP神经网络评价煤炭企业可持续发展的有效性和准确性.

关 键 词:煤炭企业  可持续发展  神经网络  评价
文章编号:0258-2724(2005)03-0375-05
收稿时间:2004-09-16
修稿时间:2004-09-16

Evaluation of Sustainable Development in Coal Enterprises Based on BP Neural Network
XU Jun,DU Wen,ZENG Qi.Evaluation of Sustainable Development in Coal Enterprises Based on BP Neural Network[J].Journal of Southwest Jiaotong University,2005,40(3):375-378,384.
Authors:XU Jun  DU Wen  ZENG Qi
Institution:1. School of Traffic and Transp. ,Southwest Jiaotong University, Chengdu 610031, China; 2. Dept. of Economics and Management, Henan Polytechnic University, Jiaozuo 454000, China
Abstract:Based on analyzing the existing methods for evaluation of sustainable development of coal enterprises, an evaluation index system was established. A neural network model with multi hierarchic structure was built based on error back propagation (BP) algorithm. The conjunction weights of the neural network are modified layer by layer from output layer to input layer in the process of neural network training to reduce the errors between the anticipated and actual outputs. A case study was conducted and it verified the validity and accuracy of the proposed method.
Keywords:coal enterprises  sustainable development  BP neural network  evaluation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号