The artificial neural network model was implemented using Tensorflow Keras 2. The results of the hyperparameter optimization can be found below. Table . Summary of the results of activation function experiment for the ANN. The activation function Tanh gave the best results. However, it performed very low during the benchmark in combination with all optimized parameters. Therefore, we decided to use the second-best activation function, ELU which delivered a better outcome. Due to computational expenses, we stopped at 40 neurons per layer -this value also delivered a suitable performance.