چکیده مقاله
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
کلیدواژهها
نویسندگان
Yaser Sabzevari
Department Water Science and Engineering, Isfahan University of Technology, ۸۴۱۵۶۸۳۱۱۱, Isfahan, Iran
Fatemeh Dadvand
Department Water Science and Engineering, Isfahan University of Technology, ۸۴۱۵۶۸۳۱۱۱, Isfahan, Iran
Saeid Eslamian
Department Water Science and Engineering, Isfahan University of Technology, ۸۴۱۵۶۸۳۱۱۱, Isfahan, Iran
شیوه ارجاع
Sabzevari, Yaser and Dadvand, Fatemeh and Eslamian, Saeid,1402,An Application of Artificial Intelligence for Climate Warming: A Case Study,5th International Conference on Software Computing,Rudsar
ارائهشده در
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