FWMAE_Citation_Notice_PKapadia.pdf
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The FWMAE (Floor-adjusted Weighted Mean Absolute Error) is a forecasting evaluation metric developed by Prinal Kapadia as part of his Doctoral research on demand forecasting for long lead-time finished goods using Bayesian Deep Learning. This metric introduces a novel weighting and stabilization method for evaluating forecast error in volatile, low-demand, or intermittent demand environments.
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figshare创建时间：
2025-06-07
