Forecasting Maximum Seasonal Temperature Using Artificial Neural Networks “Tehran Case Study”

Author:

Fahimi Nezhad Elham,Fallah Ghalhari Gholamabbas,Bayatani Fateme

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference28 articles.

1. Ahmadi, E.: The precipitation classification of Bushehr using neural network (ANN) based on the self-organizing Kuhunn model (SOM). A Thesis Submitted to the Geography Faculty of Kharazmi University of Tehran in Partial Fulfillment of the Requirements for the Degree Master of Science, Tehran (2005)

2. Alijani, B., Ghavidel, R.: Comparison and prediction of annual temperature changes in Tabriz with the anomalies of the global temperature using linear regression and neural network methods. Geography and Development Iranian Journal. 21–38 (2005)

3. Alijani, B.: Spatial analysis of extreme temperatures and rains in Iran. J. Geogr. Sci. 17(20): 9–30, Spring (2011)

4. Cadenas, E., Rivera, V.: Short term wind speed forecasting in La Venta, Oaxaca, Mexico, using artificial neural networks. Renew. Energy. 34, 274–278 (2009)

5. Chauhan, S., Shrivastava, R.K.: Performance evaluation of reference evapo-transpiration estimation using climate based methods and artificial neural network. J. Water Resour. Manag. 23, 825–837 (2009)

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