Research on the Correlation Model and Algorithm between Intangible Assets and Enterprise Value of Sports Listed Enterprises Based on Deep Learning

Abstract

In order to explore the relationship between intangible assets and enterprise value of sports listed enterprises and build a multiple regression model, obtain the enterprise value of enterprise variables through parallel neural fuzzy network calculation, so as to verify the correlation between intangible value and enterprise value. With the development of economy, the intangibility of enterprises has been widely concerned. No matter what angle scholars study it from, our common concern is the research on the value of intangible assets and the definition of its existence. Taking sports listed companies as the research object, this study analyzes and discusses the correlation between intangible assets and enterprise value of sports listed companies by using the statistical analysis model algorithm based on deep learning and the method of constructing multiple regression model. The results show that intangible assets have a significant correlation with enterprise value, which is conducive for enterprises to promote the realization of enterprise value by improving intangible assets and provide favorable support for the sustainable development of the company.