Prediction of drought in dry lands through feedforward artificial neural network abilities-Reference-Cited by-同舟云学术

Prediction of drought in dry lands through feedforward artificial neural network abilities

Published:2011-11-25 Issue:5 Volume:6 Page:1417-1433
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Bari Abarghouei Hossein,Kousari Mohammad Reza,Asadi Zarch Mohammad Amin

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s12517-011-0445-x.pdf

Reference41 articles.

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4. Dastorani MT, Afkhami H (2011) Application of artificial neural networks on drought prediction in Yazd (Central Iran). Desert Journal 16:39–48

5. Edwards D, McKee T (1997) Characteristics of 20th century drought in the United States at multiple timescales. 97–2. Colorado State University Fort Collins, Climatology Report

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