Table A.1.

Parameter settings for the Artificial Neural Network (ANN) model implementation.

Model parameters Settings
Total hidden layers 4
Hidden layer activation function Rectified linear unit
Output layer activation function Softmax
Weight regularization L2 with a penalty of 10−2
Training batch size 64
Loss function Weighted Binary Cross-Entropy (weights: wno−flare = 1, wflare = 100)
Optimization method Adagrad (parameters: learning rate = 5 × 10−4)
Number of Epochs 50

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