Co-Evolutionary Fuzzy Deep Transfer Learning for Disaster Relief Demand Forecasting
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DOI: 10.1109/tetc.2021.3085337
Abstract: Relief demand forecasting is vital to the success of disaster relief operations, but it is associated with challenges including insufficient training samples, incomplete and imprecise inputs, and inaccurate demands. This article presents a co-evolutionary fuzzy… read more here.
Keywords: demand forecasting; transfer; relief demand; transfer learning ... See more keywords