Implementation of computationally efficient Taguchi robust design procedure for development of ANN fuel consumption prediction models

Implementation of computationally efficient Taguchi robust design procedure for development of ANN fuel consumption prediction models

Reduction of passenger cars fuel consumption and associated emissions are two major goals of sustainable transport over the last years. Passenger car fuel consumption is directly related to a number of technological aspects of a given car, driver behaviour, road and weather conditions and, especial...

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Bibliographic Details
Main Authors: Bratislav Predić, Miloš Madić, Miloš Roganović, Darjan Karabašević, Dragiša Stanujkić
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2018-09-01
Series:Transport
Subjects:
fuel consumption
traffic conditions
artificial neural network
Taguchi method
on-board measurements
city traffic modelling
Online Access:http://journals.vgtu.lt/index.php/Transport/article/view/5174

Internet

http://journals.vgtu.lt/index.php/Transport/article/view/5174

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