Evaluation of Meteorological Signals for Drought Forecasting, Using Regression Methods and Artificial Neural Networks
کلیدواژه(گان): Drought Indices, Meteorological Signals, Arterial Neural Networks, Drought Forecasting, Tehran Province.
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Evaluation of Meteorological Signals for Drought Forecasting, Using Regression Methods and Artificial Neural Networks
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| contributor author | Kiarash, Bagherzadeh | |
| contributor author | Saeid, Morid | |
| contributor author | , Ghaemi | |
| date accessioned | 2020-04-11T20:12:22Z | |
| date available | 2020-04-11T20:12:22Z | |
| identifier other | s_up8O0viMmwx5Q2jQ7xgt3OFleRRH5tafwT7h67lW5ctOi1kn.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/2414284 | |
| format | general | |
| language | Farsi | |
| title | Evaluation of Meteorological Signals for Drought Forecasting, Using Regression Methods and Artificial Neural Networks | |
| type | Conference Paper | |
| contenttype | Fulltext | |
| identifier padid | 12337082 | |
| subject keywords | Drought Indices, Meteorological Signals, Arterial Neural Networks, Drought Forecasting, Tehran Province. | |
| coverage | Academic | |
| filesize | 782938 | |
| citations | 2 | |
| identifier link | http://www.civilica.com/Paper-IKWCM01-IKWCM01_022.html | |
| conference title | 01st Iran-Korea Joint Workshop on Climate Modeling |