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评估知识生产绩效的BP神经网络模型
引用本文:任伟巍,赵新力. 评估知识生产绩效的BP神经网络模型[J]. 高技术通讯, 2008, 18(4): 400-407. DOI: 10.3772/j.issn.1002-0470.2008.04.014
作者姓名:任伟巍  赵新力
作者单位:中国科学技术信息研究所,北京,100038;中国科学技术信息研究所,北京,100038
基金项目:国家高技术研究发展计划(863计划)
摘    要:把知识生产划分为批量型知识生产和订单型知识生产两类,绘制了它们的流程,并系统地比较了它们与传统制造行业供应链的差异。针对知识生产的流程更加复杂多变,供应链更新更快且对象更难于量化的特点,提出了批量型和订单型两类知识生产的绩效评估指标体系,在此基础上通过BP神经网络模型,得出了它们的绩优度,为知识生产绩效的评估提供了参考和依据。

关 键 词:知识生产  供应链  绩效评估  BP神经网络模型
修稿时间:2006-02-07

A BP neural network-based model for evaluation of knowledge production performance
Ren Weiwei,Zhao Xinli. A BP neural network-based model for evaluation of knowledge production performance[J]. High Technology Letters, 2008, 18(4): 400-407. DOI: 10.3772/j.issn.1002-0470.2008.04.014
Authors:Ren Weiwei  Zhao Xinli
Affiliation:Institute of Scientific & Technical Information of China;Beijing 100038
Abstract:The paper divides knowledge production into batch production and order production,and gives each of them a corre- sponding processing charts,and compares their supply chains with that of industrial manufacturing.It indicates that the knowledge production is much more complicated,its supply chain is updated more frequently,and the relevant factors are more difficult to quantize.In view of this,it proposes a BP neural network-based model for evaluation of knowledge pro- duction performance for the two kinds o...
Keywords:knowledge production  supply chain  achievements & effects evaluation  BP neural network  
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