Table 3.

Training parameters of ANN models.

Parameter	Value
Training Algorithm	Levenberg–Marquardt algorithm (LM) algorithm particle swarm optimization (PSO) algorithm Grey Wolf Optimization (GWO) Algorithm algorithm
Normalization	Minmax in the range 0.10–0.90, 0.00–1.00 -1.00-1.00
Number of Hidden Layers	1
Number of Neurons per Hidden Layer	1 to 50 by step 1
Control random number generation	10 different random generation
Maximum number of Epochs	250
Cost Function	Mean Square Error (MSE) Sum Square Error (SSE)
Transfer Functions	Hyperbolic Tangent Sigmoid transfer function (HTS) Log-sigmoid transfer function (LS) Linear transfer function (Li) Positive linear transfer function (PLi) Symmetric saturating linear transfer function (SSL) Soft max transfer function (SM) Competitive transfer function (Co) Triangular basis transfer function (TB) Radial basis transfer function (RB) Normalized radial basis transfer function (NRB)