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Research on the credit classification of practicing qualification personnel in construction market based on self-organizing neural network

Research on the credit classification of practicing qualification personnel in construction market based on self-organizing neural network
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摘要 Combining with the characters of the practicing qualification personnel in construction market,evaluation method based on the self-organizing neural network is brought out to analyze the credit classification of the practicing qualification personnel. And the impact factors on the credit classification of the practicing qualification personnel,such as the number of neurons,the training steps,the dimension of neurons and the field of winning neurons are studied. Then a self-organizing competitive 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.
出处 《Engineering Sciences》 EI 2011年第4期93-96,共4页 中国工程科学(英文版)
关键词 practicing qualification personnel CREDIT cluster analysis self-organizing neural network 自组织神经网络 执业资格 建筑市场 信用 分类 自组织竞争神经网络 基础 神经元
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