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Retail Sales Forecasting Using PLG Model by faizamahbub99 is a document available to read on EtoBox.

The thesis presents a novel PLG hybrid model for enhancing retail sales forecasting by integrating Principal Component Analysis (PCA), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) to improve prediction accuracy. This model addresses the complexities of retail data, which is often high-dimensional and influenced by various factors, by reducing noise and learning patterns effectively. The results indicate that the PLG model outperforms traditional forecasting methods, providing more reliable

Author

faizamahbub99

Language

EN