PPPs Performance Evaluation Based on RBF Neural Network

被引：1

作者：

Sun Hui ^{[1
]}

Zhou Min ^{[1
]}

Fan Zhi-qing ^{[2
]}

机构：

[1] Tianjin Univ, Sch Management, Tianjin 300072, Peoples R China

[2] Branch Tianjin, China Dev Bank, Tianjin 300061, Peoples R China

来源：

MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3 | 2011年 / 467-469卷

关键词：

RBF neural network; PPP; index system; economic; society; environment; CONSTRUCTION;

D O I：

10.4028/www.scientific.net/KEM.467-469.1256

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on RBF neural network and combining with the study of PPP performance evaluation, quantitative index system was built from economic, society and environment three aspects. Focusing on the project performance evaluation, which is a nonlinear evaluation problem, the evaluation model based on RBF was established. Empirical analysis was carried out with quantitative projects statistical data, the results show that the program can effectively and accurately evaluate the PPP projects performance, successfully proposed and verified a viable method, and set a basis of theoretical methods for further study.

引用

页码：1256 / +

页数：3

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