A Hyperparameter Optimization Algorithm for the LSTM Temperature Prediction Model in Data Center

Figure 6

The hyperparameter optimization process of the LSTM model (the horizontal axis represents the number of training sessions; the vertical axis represents the accuracy of the selected hyperparameter on the validation set after each sampling. MLP stands for the algorithm proposed in this paper; Random stands for Random Search; Gauss Bayes stands for Gaussian Bayes algorithm).