Fan Jiang
ABSTRACT
With the continuous promotion of the work related to risk control in the 13th Five-Year Plan and the deepening development of financial intensification, in order to realize the strategic objectives and business decisions of State Grid, higher requirements are put forward for the comprehensive risk management and internal control information management level of State Grid, which requires State Grid to further innovate management methods, make full use of the process control and result supervision functions of information systems, improve the risk response speed, seize development opportunities and reduce various potential risks in the company's development. There are many deficiencies in the traditional way of business risk prevention and control of State Grid, which need to be further solved. In this paper, using machine learning technology under the background of the Internet, through the study of decision tree, random forest, design integration method, artificial neural network, research on the State Grid business risk prevention and control based on machine learning under the background of the Internet.
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Index Terms
- Research on Machine Learning and State Grid Business Risk Prevention and Control Based on the Internet
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