An optimisation methodology of artificial neural network models for predicting solar radiation: a case study-Reference-Cited by-同舟云学术

An optimisation methodology of artificial neural network models for predicting solar radiation: a case study

Published:2015-02-10 Issue:3-4 Volume:123 Page:769-783
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Rezrazi Ahmed,Hanini Salah,Laidi Maamar

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00704-015-1398-x.pdf

Reference57 articles.

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3. Azadeh A, Maghsoudi A, Sohrabkhani S (2009a) An integrated artificial neural networks approach for predicting global radiation. Energy Convers Manag 50:1497–1505

4. Azadeh A, Maghsoudi A, Sohrabkhani S (2009b) An integrated artificial neural networks approach for predicting global radiation. Energy Convers Manag. doi: 10.1016/j.enconman.2009. 02.019

5. Benghanem M, Mellit A, Alamri SN (2009) ANN-based modeling and estimation of daily global solar radiation data: a case study. Energy Convers Manag 50:1644–1655

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