CHASM 发表于 2025-3-23 13:15:30
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P. Sigmundt there is no “perfect” forecast, forecasting for highly structured data (e.g., the time series with high seasonality or trend) is known to be “easy” because there are many well-established models which provide the needed analytical formulations . For example, Hott develop analytical mod滑动 发表于 2025-3-24 05:59:22
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K. Inoue,Y. Taga,K. Sattaakes it hard to apply the traditional supervised learning in fault diagnosis. Unsupervised learning is a machine learning approach where the algorithm learns patterns and structures from unlabeled data without explicit input-output pairs, however, the trained model is often hard to be generalized wisepticemia 发表于 2025-3-24 11:36:37
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