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 Style AAA Style APA 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, January 29). Application of Machine Learning Techniques in Humanitarian Aid Forecasts. Econometrie. Retrieved from http://hdl.handle.net/2105/55692

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