Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach

Forecasting of NOx Emissions of Diesel LHD Vehicles in Underground Mines—An ANN-Based Regression Approach

An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load–haul–dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used to establish a nonlinear relationship between...

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Bibliografiska uppgifter
Huvudupphovsmän: Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Paweł Śliwiński, Pavlo Krot, Jacek Wodecki, Radosław Zimroz
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-09-01
Serie:Applied Sciences
Ämnen:
NOx emission prediction
artificial neural network
LHD vehicles
underground mine
safety
ventilation
Länkar:https://www.mdpi.com/2076-3417/13/17/9965

Internet

https://www.mdpi.com/2076-3417/13/17/9965

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