Value Assessment Of Artificial Intelligence Enterprises Based On LSTM Neural Network

In 2022,the rapid growth of China’s capital market and the gradual increase of residents’ income,coupled with the impact of the outbreak of COVID-19 in China in 2020 and the implementation of loose monetary policy to promote China’s macroeconomic development,made China’s stock market perform well,so the stock market also attracted a large number of new investors.In recent years,the development of kechuang plate have also been seriously,kechuang plate is set up independent innovation,focus on the development of science and technology innovation-oriented enterprises,focusing on ranging from industrial informatization,sophisticated equipment,new energy,materials,save Marine biological medicine,environmental protection industry,and will gradually lead to the Internet,cloud computing,big data,intelligent medical workers intelligent industries such as the depth of fusion.The rising popularity of the science and technology innovation board has brought opportunities to the development of China’s ARTIFICIAL intelligence industry and enriched the market economy.There is great potential for the integration of ARTIFICIAL intelligence and China’s traditional industries.The scale of China’s ARTIFICIAL intelligence market has increased from 7.17 billion yuan in 2014 to 36.58 billion yuan in2018,with a compound annual growth rate of 49.4% during the period.Looking to the future,China’s ARTIFICIAL intelligence market has an optimistic prospect,benefiting from favorable factors such as the promotion and implementation of industrial policies,continuous technological breakthroughs and largescale implementation of commercial applications.In the stock market,the stock exchange of the science and technology innovation board is active,but individual speculators produce unreasonable market speculation in the actual transaction,blindly chasing up and killing down,which is not conducive to the healthy development of the stock exchange market.If we can use scientific means to judge the stock trend and put forward reasonable investment risk reference suggestions for investors,it can promote the benign development of the market and rational investment of investors,which has great theoretical and practical significance.This paper introduces the neural network algorithm and constructs the LSTM model to predict the stock price.First of all,this article selects taihe intelligence in the field of artificial intelligence,to the stock of 2017-2020,the frequency of the original transaction data in the data preprocessing,with five days of sliding window scroll way to select and process the sample data training LSTM model,this article selects the 35 index data,from screening model characteristic factor,constantly optimize the parameters in the model,Determine the parameters with the best prediction effect to build the LSTM model,and finally use the model to predict the stock price,and then use the free cash flow discount model of the income method to evaluate the value of the selected enterprise.Finally,the accuracy of the two valuation results is compared,and the applicability of the two in the evaluation of artificial intelligence enterprise value is compared.