| In recent years,China’s Internet economy is presenting a rapid growth of development,as the basic component of network economy unit,Internet companies are growing stronger and stronger,more and more Internet companies successfully listed on the capital market and actively participate in all kinds of capital operation activities,such as investments,mergers,listing,restructuring.Based on this,it is urgent to assess the value of Internet enterprise,However,due to the particularity and the emerging of the Internet,how to evaluate the value of Internet companies reasonably and effectively has become an important research topic.For now,in the study of Internet enterprise value assessment,most scholars use basic assessment methods,such as the market method,income method,real options method.these common methods have certain limitations in practical applications.Therefore,this paper is based on the perspective of the BP neural network,discusses the applicability and effectiveness of the BP neural network in the Internet enterprise value evaluation,and provides a reference for investment decision makers related Internet companies.This paper focuses on the valuation of the Internet enterprise,analyses the characteristics of Internet companies and the particularity of value evaluation,and introduces the principle of BP neural network in the assessment application.Then from business model and profit model two aspects,the article explores the influencing factors of enterprise value and establishes the index system of the evaluation on Internet enterprise values.And then the paper designs the BP neural network assessment model,and chooses three Internet companies WEIBO,TUNIU,JD as examples to the empirical analysis and application of the model,which verify the feasibility and effectiveness of BP neural network in the Internet enterprise value evaluation.Finally,according to the model the article analyses the variable importance of influence factors,provides the direction and suggestion for promoting the Internet enterprise value. |