Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting - researchr publication authors

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Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel 0001, Sheraz Ahmed. Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. In Lazaros Iliadis 0001, Antonios Papaleonidas, Plamen Angelov 0001, Chrisina Jayne, editors, Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI. Volume 14259 of Lecture Notes in Computer Science, pages 206-217, Springer, 2023. [doi]

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