*3.2. Description of the ANN Model*

As shown in Figure 6, we created an ANN model for prediction of radiation amounts. Deep ANN was utilized with a structure of 1 input layer of size 8, 2 hidden layers each of size 50, and a single output layer with size 1. Therefore, we utilized only one row to predict the following 48th row.

**Figure 6.** ANN model.

For the model in Figure 6, the tanh function was used as the activation function for the proposed model. Hyperparameter optimization using random grid search was performed on the batch size and the learning rate. Stochastic gradient descent (SGD) was utilized as the optimizing parameter for the deep ANN. The hyperparameters' ranges are specified in the following Table 4.

**Table 4.** Hyperparameters of the ANN model.


Table 4 demonstrates the hyperparameters of the ANN model.
