z-logo
open-access-imgOpen Access
Effects of artificial neural network speed-based inputs on heavy-duty vehicle emissions prediction
Author(s) -
Nicole N. Hashemi
Publication year - 2004
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.1490
Subject(s) - artificial neural network , driving cycle , engineering , dynamometer , automotive engineering , diesel fuel , axle , range (aeronautics) , torque , environmental science , computer science , artificial intelligence , mechanical engineering , power (physics) , physics , electric vehicle , quantum mechanics , thermodynamics , aerospace engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom