A Residual-Corrected Hybrid ARIMA–CNN–LSTM Framework for High-Accuracy Tobacco Sales Forecasting in Regulated Markets - Huang, Shiyu; Zhou, Lili (International journal of computational intelligence systems, 2025)
Keywords: Accuracy; ARIMA; Artificial Intelligence; Artificial neural networks; Autoregressive moving-average models; Computational Intelligence; Control; Deep learning; Engineering; Forecasting; Hybrid deep learning; Machine learning; Mathematical Logic and Foundations; Mechatronics; Optimization; Public health; Residual correction; Robotics; Sales; Time series analysis; Tobacco; Tobacco sales forecasting; Trend analysis; Hybrid deep learning; Time series analysis; ARIMA; Tobacco sales forecasting; Residual correction