基于人工神经网络的投标单位资格预审评价法
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F284

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Evaluation Method Based on Artificial Neural Network in Contractor Prequalification of Tenderers
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    摘要:

    招标单位和投标单位都非常重视投标前的资格预审,资格预审对双方都有着重要的作用。目前我国通常采用打分法,但是该方法中各因素权值是人为确定,难免不受到人为主观因素的影响。为避免这种影响,文中介绍另一种新的评价方法:人工神经网络评价法。在介绍人工神经网络原理的基础上,结合分析资格预审指标的特点,建立起该方法的数学模型,最后通过实例说明该方法的具体应用。

    Abstract:

    Both tenderees and tenderers attach much importance to contractor prequalification before bidding because it plays important roles for both and so far the Score Method has been widely used in our country. But the weights in the method are man-made, which may be affected by personality inevitably. In order to avoid this influence, this thesis will introduce another method based on artificial neural network. This thesis expatiates the principle of artificial neural network, and analyzes the characters of prequalification. Then, the author sets up the mathematics model. In the end, the author analyzes this method by an example.

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刘亮晴 严薇.基于人工神经网络的投标单位资格预审评价法[J].土木与环境工程学报(中英文),2005,27(4):97-101. Liu LiangQing;Yan Wei. Evaluation Method Based on Artificial Neural Network in Contractor Prequalification of Tenderers[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2005,27(4):97-101.10.11835/j. issn.1674-4764.2005.04.023

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  • 收稿日期:2005-02-18
  • 最后修改日期:2005-02-18
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