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It is recommended that add Time Evidence Fusion Network (TEFN) model from paper .
Time Evidence Fusion Network (TEFN) is a groundbreaking deep learning model designed for long-term time series forecasting. It integrates the principles of information fusion and evidence theory to achieve superior performance in real-world applications where timely predictions are crucial. TEFN introduces the Basic Probability Assignment (BPA) Module, leveraging fuzzy theory, and the Time Evidence Fusion Network to enhance prediction accuracy, stability, and interpretability.
References
Official implementation of TEFN
Paper:
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Description
It is recommended that add Time Evidence Fusion Network (TEFN) model from paper .
Time Evidence Fusion Network (TEFN) is a groundbreaking deep learning model designed for long-term time series forecasting. It integrates the principles of information fusion and evidence theory to achieve superior performance in real-world applications where timely predictions are crucial. TEFN introduces the Basic Probability Assignment (BPA) Module, leveraging fuzzy theory, and the Time Evidence Fusion Network to enhance prediction accuracy, stability, and interpretability.
References
The text was updated successfully, but these errors were encountered: