Performance Evaluation of Enterprise-Level Transformation in Power Industry Based on RS-BP Neural Networks

In the context of China's power industry structure, this paper selects a power company as the research object, and tries to provide opinions on financial performance analysis and improvement for listed electric power companies through a comprehensive and comparative study of financial performance. This paper firstly outlines the basic situation of corporate financial performance evaluation and the theoretical basis of RS-BP neural network, then analyses the current situation of financial performance evaluation method of A power company and some existing problems, and then builds an evaluation model combined with RS-BP neural network and calculates the expected output of the neural network. Finally, the company's panel data is imported into the evaluation model for summary analysis, thus concluding that this financial performance evaluation system can effectively improve the expertise in the realm of science, effectiveness and accuracy of the financial performance evaluation of electric power companies.