Table 3.

Parameters of competing models

Model	Key parameters
MLP	Learning rate = 0.7, momentum = 0.9, number of hidden nodes = 20
ANFIS	Membership function = Gaussian
Rejected
RF	Number of trees = 500, features for branching = 2
SVR	$C$=3.5, $\sigma$=3.2, $\epsilon$=0.1
MARS	Degrees of interaction = 1, generalized cross validation penalty per knot = 2
LASSO	Lambda (regularization) = 0.3