Predicting the number of bike trips in Toronto’s bike sharing system, using long-short term memory on spatial, temporal, and external factors

Additional Metadata
Keywords	Demand Forecasting, LSTM, Toronto, Bike trips, Spatial, Temporal, External
Thesis Advisor	van der Hagen, Liana, Tsoukalas, Angelos
Persistent URL	hdl.handle.net/2105/69656
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
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	van Mil, Rick. (2023, August 24). Predicting the number of bike trips in Toronto’s bike sharing system, using long-short term memory on spatial, temporal, and external factors. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/69656

Publication