An artificial neural network (ANN) was trained on chassis dynamometer data and used to
predict the oxides of nitrogen (NO x), carbon dioxide (CO2), hydrocarbons (HC), and carbon …

This paper presents a novel approach to predict carbon dioxide (CO 2), nitrogen oxides
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …

The use of Artificial Neural Networks (ANNs) as a predictive tool has been shown to have a
broad range of applications. Earlier work by the authors using ANN models to predict carbon …

This paper presents a road vehicle emission model that integrates an artificial neural
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …

This study details the artificial neural network (ANN) modelling of a diesel engine to predict
the torque, power, brake-specific fuel consumption and pollutant emissions, including …

With the advent of hybrid electric vehicles, computer-based vehicle simulation becomes
more useful to the engineer and designer trying to optimize the complex combination of …

Euro 6 standards impose stringent nitrogen oxide (NOx) emission limits on diesel cars. NOx
emissions are significantly different between Euro 6 diesel cars and the previous standards …

This paper presents a two-stage emissions predictive model developed by investigating
common feedforward neural network models. The first stage model involves predicting …

During the cold start and warm-up phase, modern vehicles emit considerable amounts of
pollutants due to the incomplete combustion and deteriorated performance of aftertreatment …

The present investigation was carried out to assess the potential of applying Artificial Neural
Network (ANN) technique to the prediction of n-heptane fueled Direct Injection (DI) Diesel …