APPLICATION OF MACHINE LEARNING ALGORITHMS TO PREDICT FUEL EFFICIENCY BASED ON TRIP PARAMETERS: A HEAVY HAUL RAILWAY CASE OF STUDY | Zendy

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APPLICATION OF MACHINE LEARNING ALGORITHMS TO PREDICT FUEL EFFICIENCY BASED ON TRIP PARAMETERS: A HEAVY HAUL RAILWAY CASE OF STUDY

Author(s) -

Rodolfo Spinelli Teixeira

Publication year - 2021

Language(s) - English

Resource type - Dissertations/theses

DOI - 10.17771/pucrio.acad.56709

Subject(s) - machine learning , computer science , algorithm , engineering , artificial intelligence , transport engineering

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