Research on Wheat Price Prediction Based on LSTM Modeling
Wheat,as a basic consumer good,has its price directly linked to people's living standards,and it also serves as a crucial basis for government agencies to regulate wheat production.Affected by production costs,market factors,natural disasters,etc.,wheat prices exhibit volatility and nonlinearity.Currently,the methods for predicting wheat prices,which are highly volatile and nonlinear,are limited and perform unsatisfactorily.Therefore,this paper employs a Long Short-Term Memory(LSTM)model to study wheat prices.This model is suitable for analyzing historical price changes and obtaining the cyclical patterns of prices.This paper primarily investigates the relationship between wheat purchase prices and wheat purchase volumes,aiming to predict the trend of wheat prices.
万方数据
维普
