| 基于改进BP神经网络算法的多指标综合评价方法的应用研究 |
| |
| 引用本文： | 孙修东,李宗斌,陈富民.基于改进BP神经网络算法的多指标综合评价方法的应用研究[J].河南机电高等专科学校学报,2003,11(1):61-63. |
| |
| 作者姓名： | 孙修东 李宗斌 陈富民 |
| |
| 作者单位： | 西安交通大学CIMS研究所,陕西,西安,710049 |
| |
| 摘 要： | 研究利用误差反向传播人工神经网络(BP网络)的多指标综合评价问题，以建设工程项目招标评标为背景，建立了多指标综合评价的BP模型，引入附加动量法和变步长算法，对BP神经网络算法改造，大大提高了学习训练速度，运用这种神经网络来解决实际问题，并给出了结果．
|
| 关 键 词： | 建设工程 招标 评标 人工神经网络 多指标综合评价 |
| 文章编号： | 1008-2093(2003)01-061-03 |
| 修稿时间： | 2002年9月5日 |
The application research of multiple attribute synthetical evaluation methods based on artificial neural network |
| |
| SUN Xiu-dong,et al.The application research of multiple attribute synthetical evaluation methods based on artificial neural network[J].Journal of Henan Mechanical and Electrical Engineering College,2003,11(1):61-63. |
| |
| Authors: | SUN Xiu-dong |
| |
| Abstract: | This paper researches multiple attribute synthetical evaluation problems with Error Back Propagation Training artificial neural network(BP neural network).To comment the mark is the background to invite tenders by the construction project item, BP's models of the multiple attribute synthetical evaluation have been established,lead the additional momentum law and become the long algorithm of step,transform to BP's neural network algorithm,and by which study training speed has been greatly raised.This paper uses this kind of neural network to solve the real problems,and gives the result of it. |
| |
| Keywords: | BP neural network construction project invited tenders and commented the mark many synthetical evaluations of quota |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
