Advancement Through Research
Air quality issues are now a major concern worldwide, and vehicle emission models are of great importance. Currently, most vehicle emission models are based on statistical analysis and it is necessary to develop new models to achieve better estimation accuracy. In addition, Artificial Neural Networks have proven to be superior to statistical models in various disciplines.
In this study, Extreme Learning Machines was proposed to replace the existing statistical model, and the superiority of the proposed model was demonstrated by comparing the prediction performance with the backpropagation neural network model. Experimental results show that Extreme Learning Machines can outperform normal backpropagation models.
Vehicle Emission Models, Artificial Neural Networks (ANNs), Extreme Learning Machines, Backpropagation
