Forecasting Precipitation with Artificial Neural Networks (Case Study: Tehran)-Reference-Cited by-同舟云学术

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Forecasting Precipitation with Artificial Neural Networks (Case Study: Tehran)

Published:2009-04-15 Issue:9 Volume:9 Page:1786-1790
ISSN:1812-5654
Container-title:Journal of Applied Sciences
language:
Short-container-title:J. of Applied Sciences

Author:

Gholizadeh M.H.,Darand M.

Publisher

Science Alert

Subject

Multidisciplinary

Link

https://www.scialert.net/fulltext/?doi=jas.2009.1786.1790&org=11

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment and Comparison of Satellite-Based Rainfall Products: Validation by Hydrological Modeling Using ANN in a Semi-Arid Zone;Water;2023-05-24

2. Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network;ECAS 2022;2022-07-14

3. Deep transfer learning correlation study of electronic and spin properties in buckled III–V monolayers;Physica E: Low-dimensional Systems and Nanostructures;2022-06

4. Machine Learning-Based Precipitation Prediction Using Cloud Properties;Hybrid Intelligent Systems;2022

5. Weather Divergence of Season Through Regression Analytics;Intelligent Sustainable Systems;2021-08-27

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