African Journal of Agricultural Research - Article Cited by

African Journal of
Agricultural Research

Abbreviation: Afr. J. Agric. Res.
Language: English
ISSN: 1991-637X
DOI: 10.5897/AJAR
Start Year: 2006
Published Articles: 6862

Full Length Research Paper

Groundwater modeling using hybrid of artificial neural network with genetic algorithm

Amir Jalalkamali* and Navid Jalalkamali

Department of Water Engineering, Faculty of Engineering, Islamic Azad University, Kerman branch, Kerman, Iran.
Email: [email protected]

Article Number - 2DFCC9129552
Vol.6(26), pp. 5775 - 5784 , November 2011
https://doi.org/10.5897/AJAR11.1892

Accepted: 29 August 2011
Published: 12 November 2011

Copyright © 2024 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0.

CrossRef Citations (3)

See more citations on Google Scholar

1.

Ahmadi Arman,Olyaei Mohammadali,Heydari Zahra,Emami Mohammad,Zeynolabedin Amin,Ghomlaghi Arash,Daccache Andre,Fogg Graham E.,Sadegh Mojtaba, . (2022) Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis . Water

2.

Mahdavi-Meymand Amin,Sulisz Wojciech,Zounemat-Kermani Mohammad, . (2024) Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis . Archives of Computational Methods in Engineering

3.

Chen Weibo,Liu Wencheng,Huang Weiche,Liu Hongming, . (2017) Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three-Dimensional Hydrodynamic Models . Computational Water, Energy, and Environmental Engineering

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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