Humanitarian logistics; machine learning; neural network; demand forecast; K-fold cross-validation; impact measurement
Wagelmans, A.P.M.
hdl.handle.net/2105/55692
Econometrie
Erasmus School of Economics

Tegelberg, H.M. (2021, January 29). Application of Machine Learning Techniques in Humanitarian Aid Forecasts. Econometrie. Retrieved from http://hdl.handle.net/2105/55692