Risk evaluation of power supplying enterprises based on Principal Component Analysis and BP neural network

机译：基于主成分分析和BP神经网络的供电企业风险评估

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With the development and reformation of china's power market, the environment of production and management is changing fundamentally. Therefore, considering the risk character of power supply enterprises, an evaluation index system to evaluate the risk in power supply enterprises is established. Then by combining PCA (Principal Component Analysis) and BP neural network together, a risk evaluation model is put forward. At last, we give a test, the result shows that this method can be adopted in the Risk assessment of power supply enterprises and it could give an accurate judgement of risk management.

机译：随着中国电力市场的发展和改革，生产和管理环境从根本上变化。因此，考虑到供电企业的风险特征，建立了评估供电企业风险的评价指标体系。然后通过将PCA（主成分分析）和BP神经网络组合在一起，提出了风险评估模型。最后，我们进行了一次测试，结果表明，这种方法可以在供电企业的风险评估中采用，并可以提出对风险管理的准确判断。

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《International Conference on Management and Service Science》|2009年||共4页
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Zeng Ming; Song Xinming; Ju Yong; Tian Kuo;
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中图分类 C93-53;
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Risk evaluation; Index system; Principal Component Analysis; Neural network;

机译：风险评估;指标系统;主成分分析;神经网络;

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1. BP Neural Network for Power Supply Enterprise Credit Evaluation Based on Genetic Algorithm Optimization [J] . Wei Sun, Xiaoye Yang Journal of information and computational science . 2012,第14期

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2. Risk Evaluation Model on Enterprises’ Complex Information System: A Study Based on the BP Neural Network [J] . Yang Huanchun Journal of software . 2010,第1期

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3. Filtering method of rock points based on BP neural network and principal component analysis [J] . Xiao Jun, Liu Sidong, Hu Liang, Frontiers of computer science in China . 2018,第6期

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4. Risk Evaluation of Power Supplying Enterprises Based on Principal Component Analysis and BP Neural Network [C] . Zeng Ming, Ju Yong, Song Xinming, International Conference on Management and Service Science;MASS 2009 . 2009

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机译：基于Bp神经网络的供应链中小企业信用风险评估研究

Risk evaluation of power supplying enterprises based on Principal Component Analysis and BP neural network

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