
Effects of artificial neural network speed-based inputs on heavy-duty vehicle emissions prediction
Author(s) -
Nastaran Hashemi
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.1490
Subject(s) - artificial neural network , driving cycle , engineering , automotive engineering , axle , dynamometer , diesel fuel , range (aeronautics) , torque , environmental science , computer science , artificial intelligence , mechanical engineering , power (physics) , physics , electric vehicle , quantum mechanics , thermodynamics , aerospace engineering