The Grain Market Price Model Based On Data Mining Research

Food is the foundation of human survival,and the first thing the country needs to develop is to ensure that food can meet People's Daily consumption.Now the people for food is the most concern of the market price of food,including the emergence of new food security problem,the problem is the key influence factor of grain market,so the food market of our country has a great influence on people's life.Once the grain market price is too high,the food consumption expenditure of residents who live in cities will greatly improve and affect their normal life,.If the market price of grain is too low,the basic income of farmers can not be guaranteed,and it will affect the enthusiasm of farmers for planting and affect the output of grain.Once the lack of food production,national stability and development have been affected.Therefore,it is important to determine a reasonable market price for food,which plays an important role in the sustainable development of the national economy and the stability of the country.It is of great significance for fao,urban residents and countries to predict the market price and to understand the changing trend of grain market price.This paper is divided into three parts.The first part will affect the grain market price index system mathematical model,through the analysis and study the correlation between influence factors and grain market prices concluded that the impact on the market price of grain is the largest food to the affected area.Second part using the principal component analysis(PCA),the combination method of principal component analysis,the data envelopment analysis(DEA)to evaluate all food market environment respectively,and the advantages of the improved principal component will be subjective factors into consideration.By comparing the results from three kinds of model of food market environment is in improving slowly.Third part using grey prediction model and the additive DEA and grey prediction of the weighted prediction method forecast the grain market price.Through comparing the results of each model analysis,we can know though the precision of combination forecast model is high,the precision of GM(1,N)is higher.As well as the price of grain market index was 97.11 in 2018.