基于BP神经网络的PPP项目绩效评价  

Performance Measurement in PPP Project Based on BP Neural Network

作　　者：吴东平[1] 周志鹏 卢建新[2] WU Dongping;ZHOU Zhipeng;LU Jianxin(CCCC Second Highway Consultants Co.,Ltd,Wuhan 430056,China;School of Finance,Zhongnan University of Economics and Law,Wuhan 430073,China)

机构地区：[1]中交第二公路勘察设计研究院有限公司城建分院,湖北武汉430056 [2]中南财经政法大学金融学院,湖北武汉430073

出　　处：《建筑经济》2019年第12期51-54,共4页Construction Economy

基　　金：中国交通建设股份有限公司重大研发项目海绵城市关键技术研究与应用（2016-ZJKJ-11）子课题六“海绵城市PPP投融资模式及财务绩效评价研究”

摘　　要：在CSF理论基础上,构建涉及项目特征、经济评价、管理控制及产出影响四个方面,包含24个KPI指标的全生命周期绩效指标体系,建立基于BP神经网络的PPP项目绩效评价方法,并利用仿真实验测试其性能。仿真结果表明,该方法显著提升了PPP项目绩效评价的精确度和效率,具有较高的应用价值。This paper constructs a whole life cycle performance indicators system based on CSF theory,which includes 24 KPI indicators in four aspects,project characteristics,economic evaluation,management control and output impact,establishes a performance measurement method in PPP project based on BP neural network,and tests its function by simulation experiments.The results show that this method significantly improves the accuracy and efficiency of performance measurement in PPP project,and has high application value.

关 键 词：PPP项目 绩效评价 BP神经网络 

分 类 号：F283[经济管理—国民经济]