Table 1 Comparison of ML and RSM approaches in predicting TPPs of nanofluids.

From: Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques

TPP

Reference

Nanofluid

ML (R2)

RSM (R2)

DV

35

Oil/CeO2-GO-SA

GMDH-type ANN (0.9993)

0.9930

36

Oil/SnO2–CeO2

ANFIS (0.9945)

0.9990

37

Oil/MWCNT-TiO2

ANN (0.999)

0.991

38

Oil/MWCNT

ANN (0.9449)

0.9969

39

Oil/SiO2-MWCNT

GMDH-type ANN (0.9996)

0.9955

TC

40

Oil/GO-Fe3O4-TiO2

GPR (0.9994)

0.9888

41

Glycerol, EG/SiO2

ANN (0.994–0.995)

0.994–0.997

38

Oil/MWCNT

ANN (0.9980)

0.9961

42

Water/Fe3O4

ANN (0.999)

0.998

Back to article page