Financial Risk Control Evaluation in International Megaprojects Based on Back Propagation Neural Network

doi:10.11908/j.issn.0253-374x.2015.07.022

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Financial Risk Control Evaluation in International Megaprojects Based on Back Propagation Neural Network
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                        10.11908/j.issn.0253-374x.2015.07.022
                    
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                        WANG YingWANG Ying
School of Economics and Management, Tongji University, Shanghai 200092, China
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MA LiangMA Liang
School of Management, Shanghai University, Shanghai 200444, China
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BAI JuBAI Ju
School of Economics and Management, Tongji University, Shanghai 200092, China
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ZHANG YunxiaZHANG Yunxia
School of Management, Shanghai University, Shanghai 200444, China
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Clc Number:C935
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Abstract:

An evaluation framework consisting of 32 evaluation indicators grouped under 7 categories was built. The weights of the indicators were obtained through an expert questionnaire survey and were then computed using fuzzy analytic hierarchy process(FAHP), which generated 30 groups of back propagation neural network(BPNN) training samples and 5 sets of calibration samples. Based on the results, a nonlinear mapping relation model of the financial risk control of international megaprojects was constructed. Finally, an EPC(engineering, procurement, construction) project in Saudi Arabia was used as a case to illustrate the evaluation system.

Key words:financial risk control; international megaprojects; fuzzy analytic hierarchy process(FAHP); back propagation neural network(BPNN)

Reference

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WANG Ying, MA Liang, BAI Ju, ZHANG Yunxia. Financial Risk Control Evaluation in International Megaprojects Based on Back Propagation Neural Network[J].同济大学学报(自然科学版),2015,43(7):1104~1110

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Received:March 01,2015
Revised:April 23,2015
Adopted:April 13,2015
Online: July 13,2015
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