Comparative study using RSM ANN and SVM modelling for Biodiesel production from Karanja oil by developed microwave set up
2023 1st International Conference on Intelligent Computing and …, 2023•ieeexplore.ieee.org
Biodiesel has evolved as a renewable and environmentally friendly energy source that has
the potential to reduce global warming. As a result, this work investigates data-operated
machine learning strategy for biodiesel yield estimation via regression. Using Box Behnken
design, the researchers looked at time (4–8 minutes), methanol/oil mole ratio (30–50%),
volume (100–300 mL), and catalyst concentration (1–2 wt%). Statistical performance gauge
showed SVM (Root mean square error (RMSE)= 1.20, R2= 0.91 and Mean square error …
the potential to reduce global warming. As a result, this work investigates data-operated
machine learning strategy for biodiesel yield estimation via regression. Using Box Behnken
design, the researchers looked at time (4–8 minutes), methanol/oil mole ratio (30–50%),
volume (100–300 mL), and catalyst concentration (1–2 wt%). Statistical performance gauge
showed SVM (Root mean square error (RMSE)= 1.20, R2= 0.91 and Mean square error …
Biodiesel has evolved as a renewable and environmentally friendly energy source that has the potential to reduce global warming. As a result, this work investigates data-operated machine learning strategy for biodiesel yield estimation via regression. Using Box Behnken design, the researchers looked at time (4–8 minutes), methanol/oil mole ratio (30–50%), volume (100–300 mL), and catalyst concentration (1–2 wt%). Statistical performance gauge showed SVM (Root mean square error (RMSE) = 1.20, R2 =0.91 and Mean square error (MSE) = 1.45) and ANN (R2 = 0.86, RMSE = 1.55, MSE = 2.42) models narrate process with excellent precision differentiate to RSM (R2 = 0.85, RMSE = 1.67, MSE = 2.78). Properties are measured as per standard.
ieeexplore.ieee.org