Abstract
Artificial neural network model had been implemented in different areas such as industrial processes, sciences, and business. In these days, climatic changes have occurred. In this study, meteorological variables are predicted using ANN model. The experimental values are obtained from the Turkish Meteorological Center for different measurement stations. The prediction of the meteorological values are realized, when the neural network model have been trained and tested. Obtained results show that the difference between estimated and measured values is very low. The neural network models for prediction are successfully applied to the meteorological variables.
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Acknowledgments
We are thankful to directorship of Kocaeli Meteorology in Turkey, for the support in the accomplishment of the present study, directorship manager for his valuable help.
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Erdil, A., Arcaklioglu, E. The prediction of meteorological variables using artificial neural network. Neural Comput & Applic 22, 1677–1683 (2013). https://doi.org/10.1007/s00521-012-1210-0
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DOI: https://doi.org/10.1007/s00521-012-1210-0