Research on Prediction Model Algorithm Based on Long Short Term Memory (LSTM) Neural Network and XGBoost

This article establishes a prediction model based on Long Short Term Memory (LSTM) neural network and XGBoost regression model. On the basis of database analysis, this model combines fuzzy evaluation methods to establish a three color influence model. This model can quantitatively predict the development trends and patterns of phenomena, providing scientific judgment for professionals.