The Deep Learning Algorithm Based on LASSO to Predict Freight Volume

This study collected freight volume data from the southeastern coastal provinces of China and used a deep learning model based on LASSO regression to learn and predict. LASSO regression can perform data compression, feature selection, and model simplification. Regularizing deep learning models using LASSO regression can control overfitting. Using the deep learning model based on LASSO regression, this paper establishes a prediction equation for freight volume, and the deep learning model based on LASSO regression has high data interpretation ability.