Table 6 ANN hyperparameters.

From: Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches

Parameter

Values

Hidden neurons/nodes

12/12

Network type

Feed-forward back-propagation

Total dataset

2813

Testing

30%

Rate of learning

0.01

Training method

Levenberg–Marquardt

Data division

Random

Transfer function (Input layer)

PURELIN

Non-linear parameters

20

Transfer function (Hidden layer)

TANSIG