An Application of Artificial Intelligence for Climate Warming: A Case Study

With the progress of science and the expansion of artificial intelligence models in engineering sciences and the need for more accurate predictions, their use instead of old models has become important. In this research, temperature was predicted as an indicator of climate warming. In this research the network was first proposed in its simplest form. The simplicity of the network reduced the number of trainable parameters of the network and increased the training speed of the neural network. The increase of this complexity to the network happened until the network was in overfitting mode, and then the trial-and-error method and changing the network training parameters were used to prevent overfitting. Finally, a network was selected that included 3 layers and the number of neurons. The results of this research showed that the neural network model have a suitable performance in predicting temperature.