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