Journal of Chongqing Jiaotong University(Natural Science) ›› 2005, Vol. 24 ›› Issue (4): 124-128.
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ZHOU Gao—ping, ZHOU Zhi, CHEN Yuan—xiang
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周高平,周直,陈远祥
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Abstract: Applying the theory of earned value management, the implementation phase investment departure of infrastructure project is depicted quantificationally in this paper. Then, applying the theory of neural network, the neural network prediction model of investment departure of infrastructure project is constructed. Using this model, the implementation phase investment departure of infrastructure project can be forecasted, and it provides basis for the investment risk early-warning
Key words: infrastructure, investment departure, earned value management, neural network, forecast, early-warning
摘要: 本文应用挣值管理理论对基础设施项目实施阶段投资偏离进行定量描述,应用神经网络建立基础设施项目 投资偏离神经网络预测模型,运用该模型可以对基础设施项目实施阶段的投资偏离进行预测,为投资风险的预警 提供依据
关键词: 基础设施, 投资偏离, 挣值管理, 神经网络, 预测, 预警
CLC Number:
F283
TP183
ZHOU Gao-ping, ZHOU Zhi, CHEN Yuan-xiang. Research of the investment departure neural network prediction model of infrastructure project[J]. Journal of Chongqing Jiaotong University(Natural Science), 2005, 24(4): 124-128.
周高平,周直,陈远祥. 基础设施项目投资偏离神经网络预测模型研究[J]. 重庆交通大学学报(自然科学版), 2005, 24(4): 124-128.
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