Research on Value Assessment of New Energy Listed Enterprises Based on SSA-BP Machine Learning Models
New energy industry is an important field for realizing China's"double carbon"goal,and new energy listed enterprises are the driving force of the energy revolution and ushering in the window of development for improving quality and efficiency.At present,the value assessment of new energy enterprises exists problems such as complicated assessment process and weak self-consistency of relevant assessment methods.This paper collates the relevant data of 60 new energy listed enterprises from 2018 to 2022,and establishes a new energy listed enterprise value assessment index system based on Spearman correlation analysis and partial correlation analysis.At the same time,based on the SSA algorithm and the principle of BP neural network intelligence,the feasibility and effectiveness of the SSA-BP machine learning model are constructed and verified.The study shows that the SSA-BP machine learning model can better reflect the value of new energy listed enterprises.Therefore,it is recommended to strengthen the digital management of working capital,increase the investment in scientific and technological innovation,upgrade the layout of cross-border new energy industry chain,and give full play to the dual roles of the effective market and the active government to help new energy-listed enterprises develop in a high-quality manner.
New energySSA algorithmBP neural networkValue assessment
NETL
NSTL
万方数据
