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Desalination and Water Treatment Volume 52, 2014 - Issue 10-12
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Articles

Adaptive neural fuzzy inference systems for the daily flow forecast in Algerian coastal basins

Moussaab ZakhroufFaculty of Engineering Science, Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Amar Telidji University, P.O. Box 37.G, Laghouat03000, AlgeriaTel. +213 29 93 17 91; Fax: +213 29 93 26 98
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Mohamed ChettihFaculty of Engineering Science, Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Amar Telidji University, P.O. Box 37.G, Laghouat03000, AlgeriaTel. +213 29 93 17 91; Fax: +213 29 93 26 98Correspondence[email protected]
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Mohamed MesbahFaculty of Earth Science, Department of Geology, University Houari Boumediene of Science and Technology, P.O. Box 32, El Alia, Bab Ezzouar, Algiers, Algeria
Pages 2131-2138 | Received 10 Jan 2013, Accepted 01 Dec 2013, Published online: 19 Dec 2013

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Read on this site (1)

Zaki Abda, Bilel Zerouali, Mohamed Chettih, Celso Augusto Guimarães Santos, Camilo Allyson Simões de Farias & Ahmed Elbeltagi. (2022) Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria). Hydrological Sciences Journal 67:9, pages 1328-1341.
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Articles from other publishers (1)

Mohamed Chettih, Khaled Chorfi & Kaddour Mouattah. (2015) Combining a neural network with deterministic chaos theory using phase space reconstruction for daily rainfall-runoff forecasting. Combining a neural network with deterministic chaos theory using phase space reconstruction for daily rainfall-runoff forecasting.

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