five

FWMAE_Citation_Notice_PKapadia.pdf

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DataCite Commons2025-06-07 更新2025-09-08 收录
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https://figshare.com/articles/dataset/FWMAE_Citation_Notice_PKapadia_pdf/29262167
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资源简介:
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
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2025-06-07
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