Author(s)

Qinghua Zhang, Qiang Fu

College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, China.

The scientific and reasonable performance evaluation is advantageous to promote the comprehensive management level of engineering projects. Benefited from constrictive and fluctuant of wavelet transform and self-study, self-adjustment and nonlinear mapping functions of wavelet neural network (WNN), and based on the existing assessment method and the index system, the performance evaluation model of engineering project management is established. One company is taken as the study object for this model. Compared with the conventional method, the influence of human factor is eliminated, thus the objectivity of the measure results is increased. A satisfactory result is concluded, thus a new ap-proach is presented for engineering project management performance evaluation.

wavelet neural network, entropy function, project management, performance evaluation

Zhang, Q. and Fu, Q. (2009) Performance Evaluation Model of Engineering Project Management Based on Improved Wavelet Neural Network. Journal of Service Science and Management, 2, 10-14. doi: 10.4236/jssm.2009.21002.