计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (4): 243-244.DOI: 10.3778/j.issn.1002-8331.2010.04.076

• 工程与应用 • 上一篇    下一篇

ERP实施绩效的小波网络智能诊断

冯 珍,张所地   

  1. 山西财经大学 管理科学与工程学院,太原 030006
  • 收稿日期:2009-10-30 修回日期:2009-12-18 出版日期:2010-02-01 发布日期:2010-02-01
  • 通讯作者: 冯 珍

Intelligent diagnosis on ERP performance by using classified wavelet neural network

FENG Zhen,ZHANG Suo-di   

  1. School of Management Science and Engineering,Shanxi University of Finance & Economic,Taiyuan 030006,China
  • Received:2009-10-30 Revised:2009-12-18 Online:2010-02-01 Published:2010-02-01
  • Contact: FENG Zhen

摘要: 企业为了达到ERP 项目既定的目标,需要不断调整或重新策划ERP项目,必须定期对ERP的实施绩效进行诊断。提出了一种基于小波网络的ERP绩效智能诊断方法,在最小均方能量准则下,采用相应的共扼梯度学习算法求解子波函数线性组合的尺度和时延参数,以及神经网络的权值,通过实例应用给出了基于小波网络ERP绩效智能诊断的算法。

关键词: 企业资源计划(ERP), 智能诊断, 分类小波网络, 共轭梯度法

Abstract: In order to adjust and scheme the ERP project continually to achieve the goal,the performance of ERP must be diagnosed.An intelligent diagnosis approach of ERP performance based on classified wavelet neural network is presented.And the dilation and shifts,which are the parameters of wavelet function and the weight of neural network structure,are calculated by conjugate gradient algorithm in terms of the latest mean squared energy criterion.Furthermore,the intelligent diagnosis arithmetic on the performance of ERP is given with an example.

Key words: Enterprise Resource Planning(ERP), intelligent diagnosis, classified wavelet neural network, conjugate gradient algorithm

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