东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (2): 169-171.DOI: -

• 论著 • 上一篇    下一篇

神经网络在项目评估中的应用

胡清河;张爽;汪定伟;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-02-15 发布日期:2013-06-24
  • 通讯作者: Hu, Q.-H.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金重点资助项目(70431003)

Application of neural network to project evaluation

Hu, Qing-He (1); Zhang, Shuang (1); Wang, Ding-Wei (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-02-15 Published:2013-06-24
  • Contact: Hu, Q.-H.
  • About author:-
  • Supported by:
    -

摘要: 项目评估在市场机遇获得、成本控制和竞争力判别等方面决定着企业的成功与否.通过对影响项目价值的属性、因素、显性指标以及它们之间关系的研究,采用模拟生物神经元基本功能的神经网络技术建立项目价值模型,改进了传统的BP算法,对样本进行监督训练的反向传播算法得到权重因子,从而确定指定项目的价值,辅助决策者进行项目评估决策.实际应用证明了算法的有效性和模型的实用性.

关键词: 项目评估, 项目价值模型, 神经元网络, 反向传播算法, 项目评估决策

Abstract: Project evaluation is an important strategy for enterprises. Because of the significantly increasing cost and keen market competition, project evaluation will decide whether a firm succeeds or not in business, including opportunity seizing, cost control and competitive power. Studies the project's attributes influencing factors and explicit indexes, which affect the project value, and the relationship between them. The artificial neural network is used to develop a project value model, and the conventional BP algorithm is improved to get weighting factors for sample monitoring and training, thus determining the project value and assisting the decisionmaker to evaluate the project. A real application example is given to prove the efficiency of the algorithm and practicality of the model.

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