Table 1.

PINN algorithm.

Algorithm1: PINN
Step1: Specification of training set
Training data: network .
Residual training points: f network .
Step2: Construct neural network with random initialization of parameters .
Step3: Construct the residual neural network f by substituting surrogate into
the governing equations using automatic differentiation and other arithmetic operations.
Step4: Specification of loss function:
Step5: Find the best parameters using suitable optimization method for minimizing the loss function