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Explainable Multi-Channel Demand Forecasting by matchalatteisworking is a document available to read on EtoBox.

The document presents the Multi-Channel Data Fusion Network (MCDFN), a novel deep learning architecture that integrates CNN, LSTM, and GRU for improved supply chain demand forecasting. MCDFN outperforms traditional models in accuracy, as demonstrated by various statistical metrics and tests, while also addressing the interpretability of predictions through explainable AI techniques. The research highlights the importance of robust demand forecasting in enhancing supply chain resilience and provides practica

Author
matchalatteisworking
Language
EN