Study on the Credit Classification of Practicing Qualification Personnel in Construction Market Based on PNN

摘要：

　　Combining with the characters of the practicing qualification personnel in construction market,probabilistic neural network is brought out trying to analyze the credit classification of the practicing qualification personnel.And the impact factor of the number of neurons on the credit classification of the practicing qualification personnel is studied.Then a probabilistic neural network is built.At last,a case study is conducted by taking practicing qualification personnel as an example.The research result reveals that the method can efficiently evaluate the credit of the practicing qualification personnel,thus it could provide scientific advice to the construction enterprise to prevent relevant discreditable behaviors of some practicing qualification personnel.

关键词： practicing qualification personnel credit classification probabilistic neural network

作者: Hui Sun Zhiqing Fan Ying Zhou

作者单位: School of Management, Tianjin University, Tianjin 300072, China Branch of Tianjin, China Development Bank, Tianjin 300072, China China Space Civil & Building Engineering Design & Research Institute, Beijing 100000, China

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 13-17

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）