Study On Valuation Model Of Internet Companies Based On Artificial Neural Network

The fast-growing Internet industry has created enormous economic value while creating a new economic model.China's Internet companies have become the world's leading explorers,and Internet companies with high valuations have emerged.However,if traditional valuation methods are used to value Internet companies,it is found that the results are significantly different from the actual market value.The reason of the deviation is that it does not consider the characteristics of high growth,light assets,high uncertainty,and oligopoly trends of Internet companies.In view of the need for Internet companies to conduct mergers and acquisitions in the capital market,it is of great significance to establish a more accurate and effective enterprise valuation model.Based on the value drivers of Internet companies,this paper establishes a new Internet enterprise valuation model.Based on the traditional valuation method to confirm the factors that affect the core value of corporate valuation,the non-financial factors that drive the market value of Internet companies represented by operational factors,traffic factors and synergy factors are considered.This paper screened 21 Internet companies as sample data,and 6 listed Internet companies as test data,measured the enterprise synergy factor by constructing a questionnaire,and performed descriptive statistical analysis,factor analysis and multiple regression statistical analysis on the collected data.On the basis of other processing,the artificial neural network BP model of Internet enterprise valuation is established through MATLAB,and the sample data is used for learning training.Finally,the reliability of the model is verified by the test data.The innovation of this paper is to propose the synergy factor,which is an important factor affecting the valuation of Internet companies,and to establish an Internet enterprise valuation model based on the artificial neural network method that effectively solves the nonlinear correlation.The verification results show that the model can provide an effective reference for the capital market valuation of Internet companies.