Application of Machine Learning Techniques in Humanitarian Aid Forecasts

Additional Metadata
Keywords	Humanitarian logistics; machine learning; neural network; demand forecast; K-fold cross-validation; impact measurement
Thesis Advisor	Wagelmans, A.P.M.
Persistent URL	hdl.handle.net/2105/55692
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Tegelberg, H.M. (2021). Application of Machine Learning Techniques in Humanitarian Aid Forecasts. In Econometrie.http://hdl.handle.net/2105/55692

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