Table 6 Sequence of steps in PINN and TL-PINN algorithms.

From: Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients

Step #

PINN procedure

Step 1

Specify the computational domain

Step 2

Specify the system of ODEs

Step 3

Specify the training data, their distribution, and volume

Step 4

Construct a FFNN

Step 5

Define a model by combining the system of ODEs and the FFNN

Step 6

Set the optimization hyperparameters

Step 7

Train the network using specified initialization

Step 8

Predict the ODEs solution

Step 9

Save the model

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TL-PINN procedure

Step 10

Repeat steps 1–6

Step 11

Restore model from Step 9

Step 12

Train the network using restored model’s initialization

Step 13

Predict the ODEs solution

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