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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 13-17
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.13
• Online since: December 2010
• Authors: Hui Sun, Zhi Qing Fan, Ying Zhou
• Keywords: Classification, Credit, Practicing Qualification Personnel, Probabilistic Neural Network (PNN)

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