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Table 2 ANN hyperparameter values and descriptions

From: Assessing inflation and greenhouse gas emissions interplay via neural network analysis: a comparative study of energy use in the USA, EU, and China

Parameter

Description

Tested values during ANN optimization

Number of inputs

Number of input data variables

2

Number of outputs

Number of output forecasted variables

1

Number of hidden layers

Number of hidden layers

1

Number of hidden neurons

Number of hidden neurons

2–20

Maximum epochs

Max. number of training iterations before training is stopped

1000

Performance goal

The minimum target value of MSE

0

Cross-validation

Cross-validation folds to be used during the grid search

5

Termination Error

The threshold where training terminates when the error is less than or equal to it

1e-8