Biodiesel Production with Algae Oil Blend with ANFIS, ANN and RSM Technique

Artificial neural network, Adaptive neuro-fuzzy inference system and Response surface methodology are accessed on transesterification of Algae-Jatropha oil with methanol along with KOH with microwave power. This was investigated considering mole ratio (6–12), catalyst amount (0–2 wt%), Temperature (35–55 °C) and time (60–180 min.) by Box Behnken Design. Statistical performance showed ANFIS (R2 = 0.9998, Root mean square error = 0.225 and adj R2 = 0.997) and ANN (R2 = 0.9976, Root mean square error = 1.8628 and adj R2 = 0.9797) models depict process have great precision parallel to RSM (R2 = 0.9867, Root mean square error = 2.121 and adj R2 = 121.54).