Table 5 Comparative performance of ML algorithms for NOx emission prediction.

From: Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions

Machine learning algorithm

RMSE

MAE

Support vector regression (SVR)

0.0023

0.0019

Random forest (RF)

0.0041

0.0036

Multi-layer perceptron (MLP)

0.0035

0.0029

Gradient boosting trees (GBT)

0.0027

0.0022

Back to article page