Data Analysis and Soybean Price Intelligent Prediction Model Based on LSTM Neural Network

Abstract

To improve the application of the machine learning algorithm in the agricultural product price prediction, the LSTM model predicts the daily closing price of the soybean products futures. By the values of MAPE and the R2, LSTM Neural Network model has good prediction accuracy and high prediction effect on the futures price of soybean products. Therefore, the LSTM neural network has excellent generalization capabilities in futures prediction.