Application of Neural Network to Project Selection

机译：神经网络在项目选择中的应用

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Project Selection Decision is an important strategy decision problem for enterprises. Because of the significantly increasing cost and the intensive competing environment, project selection determines enterprise's success in marketing opportunity, cost control and competition ability. Project Value Model provides an important heuristic method by importing project utility value. Although the method is important in theory, the model is difficult to operate and apply, because of the difficulty of model decision and the subjectivity of weight value. The paper builds the neural network structure of project value model, presents back-propagation algorithm, gets weight value by monitoring and training examples, and thus determines the value of the project. A real application example proves the efficiency of algorithm and the practicality of model.

机译：项目选择决策是企业重要的战略决策问题。由于成本的显着增加和激烈的竞争环境，项目选择决定了企业在营销机会，成本控制和竞争能力方面的成功。项目价值模型通过导入项目效用价值提供了一种重要的启发式方法。尽管该方法在理论上很重要，但是由于模型决策的困难和权重值的主观性，模型难以操作和应用。本文建立了项目价值模型的神经网络结构，提出了反向传播算法，通过监测和训练实例获得权重值，从而确定了项目的价值。实际应用实例证明了算法的有效性和模型的实用性。

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来源
《IPMA(International Project Management Association) World Congress on Project Management; ; Shanghai(CN)》||P.189-192|共4页
会议地点 Shanghai(CN)
作者
ZHANG Shuang; HU Qing-he; WANG Ding-wei;
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作者单位

Software College Box 349, Northeastern University, Shenyang 110004, P.R.China;

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原文格式 PDF
正文语种 eng
中图分类工业计划与管理体制;
关键词
back-propagation algorithm; neural network; project selection decision; project value model;

机译：反向传播算法；神经网络；项目选择决策；项目价值模型;

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Application of Neural Network to Project Selection

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