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Ya-Peng Yang

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Sep 2026

Physics-informed BiLSTM with attention mechanism for tool wear prediction

The experimental results showed that, compared with the conventional data-driven model, PI-ATBiLSTM reduced the average root mean square error, mean absolute error and mean absolute percentage error by 60.92%, 60.83% and 62.50%, respectively.

Ya-Peng Yang, Jia-Rui Yang, Xing-Zhou Chen et al. · 0 citations

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