Research On Earnings Prediction Of Big Health Industry Based On RBF Neural Network

China’s big health industry is driven by the national good policy and the increasing health demand of consumers,the industrial scale is expanding,the industrial profits are rising,the market prospect is broad,and the big health industry is also favored by the majority of investors and securities institutions because of the large increase in the stock price of enterprises under its industry in the capital market,and has become the cradle of cattle stocks.Yunnan Baiyao enterprises began to implement the industrial strategy of "New Baiyao,Great Health" since 2011,and gradually developed from traditional pharmaceutical enterprises to one of the leading enterprises in China’s great health industry,which has high research value in earnings forecasting.In this paper,Yunnan Baiyao enterprises are placed in the big health industry.After understanding the relevant characteristics of the big health industry,the paper analyzes the current situation of surplus forecast and the influencing factors of surplus forecast financial information of Yunnan Baiyao enterprises.This paper first uses cluster-gray correlation analysis method to screen the key factors that influence the financial information of earnings forecast,while eliminating the correlation of indicators,it retains the importance of indicators to ensure that the selected key indicators are more scientific,and provides the index system basis for further research on earnings forecast Secondly,using the data of 118 healthy China from 2007 to 2018,using the RBF neural network to construct the earnings forecast model,to predict the earnings of Yunnan Baiyao enterprises from 2008 to 2019,to check the accuracy of the earnings forecast model based on the RBF neural network,and to optimize the earnings forecast model according to the earnings forecast results of Yunnan Baiyao enterprises and their own characteristics,and to improve the forecasting accuracy of the earnings forecast model;Finally,from the perspective of earnings forecasting model,combined with the current situation of earnings forecasting of Yunnan Baiyao enterprises and the factors influencing the financial information of earnings forecasting,we find out the surplus of Yunnan Baiyao Problems existing in the prediction and corresponding countermeasures and suggestions are givenBy studying the earnings forecast of Yunnan Baiyao enterprises,this paper provides a new method for Yunnan Baiyao enterprises to select the key financial indexes of earnings forecast based on clustering-gray correlation analysis,and also provides a new method based on RBF neural network earnings forecast.This paper applies the method of screening key financial indexes ofearnings forecast of Yunnan Baiyao enterprises and the method of constructing earnings forecast model to study earnings forecast and earnings forecast of other enterprises in big health industry The construction of prediction model has certain reference significance.