Trend analysis and prediction of fabric tear performance testing processes based on the BLTT-FT model.

Analysis of variance (ANOVA) shows that the same model has highly significant differences in MAE, RMSE, and MAPE metrics on different datasets and at each prediction step (p < 0.001), and the gradient degradation problem in deep network training is effectively avoided by the residual TCN structure.

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