中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2002, Vol. 21 ›› Issue (1): 27-29.

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Application of artificial neural network theory in optimizing indexes

LI Ji-rui1,ZHANG Sheng-rui2   

  1. 1.Liaoning Provincial Highway Management bureau,Shenyang 110005,China;2. Chang an University,Xian 710064,China
  • Received:2001-03-09 Online:2002-03-15 Published:2015-05-18

人工神经网络在变量选择中的应用

李继锐1,张生瑞2   

  1. 1.辽宁省交通厅公路管理局,辽宁沈阳110005;2.长安大学,陕西西安710064
  • 作者简介:李继锐(1970—),男,辽宁建昌人,工程师,从事公路规划、后评价管理等工作

Abstract: Combined with the limitation of optimizing indexes theory of comprehensive evaluation,this paper studied the contribution analysis of output value with artificial neural network,then it deletes the indexes which not important or weak influence. It takes important accordance of optimizing indexes in creating model,comprehensive evaluation and making policy etc.

Key words: comprehensive evaluation, neural network, policy decision, optimize indexes

摘要: 笔者针对综合评价建模过程中变量选取方法的局限性,应用神经网络原理对输出值各影响因素进行贡献分 析,进而剔除影响不显著或不重要的因素,为模型建立、综合评价和决策过程中选取合适指标提供了可靠依据

关键词: 综合评价, 神经网络, 决策, 变量选取

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