Table 2 UDFs of soft computing models.
Data-driven Models | UDFs | |
|---|---|---|
GP | puk kernel | Gaussian noise (0.01), σ(1), ω(0.1) |
rbf kernel | Gaussian noise γ(0.01), (1) | |
GEP | Mutation rate (0.044), inversion rate (0.1), incessant rate (0.1), root scale transport rate (0.1). one-point crossover rate (0.13), two-point crossover rate (0.3), gene recombination rate (0.1), transportation rate (0.1), number of chromosomes (30), head size (3), and no. of gene per chromosomes (3). | |
REPt | Maximum tree depth: −1; minimum total instance weight in the leaf: 2; minimum likelihood of variance: 0.001 | |
BREPt | Batch size-80, bag Size percent = 100, Classifier = REPTree, numbers of executions slots = 1, number of iterations = 100 | |
ANN-FFA | Iteration (1000), population (150), α (0.05), β (0.5), γ(0.8) and neuron (12) | |
