Výsledky vyhledávání - "Rachid El Chaal"

Akademický článek

Application neural network approach for the estimation of heavy metal concentrations in the Inaouen watershed

Autor: Rachid El Chaal, Moulay Othman Aboutafail

Publikováno v: Journal of Environmental Engineering and Landscape Management, Vol 30, Iss 4 (2022)

This paper describes how the multilayer perceptron neural network (MLPNN) trained by the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-newton back-propagation approach was used to estimate heavy metal concentrations: Aluminum (Al), Lead (Pb), Copper

Externí odkaz: https://doaj.org/article/c28d6b78689e4072a2fa6532d4eccaad

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Akademický článek

Statistical Modelling by Topological Maps of Kohonen for Classification of the Physicochemical Quality of Surface Waters of the Inaouen Watershed Under Matlab

Autor: RACHID EL CHAAL, M. O. Aboutafail

Publikováno v: Journal of Nigerian Society of Physical Sciences, Vol 4, Iss 2 (2022)

Self-organizing maps (SOMs) and other artificial intelligence approaches developed by Kohonen can be used to model and solve environmental challenges. To emphasize the classification of Physico-chemical parameters of the Inaouen watershed, we present

Externí odkaz: https://doaj.org/article/9f7f685b4c8047d6bad47baa6615fa5c

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Comparing Artificial Neural Networks with Multiple Linear Regression for Forecasting Heavy Metal Content

Autor: Rachid El Chaal, Moulay Othman Aboutafail

This paper adopts two modeling tools, namely, multiple linear regression (MLR) and artificial neural networks (ANNs), to predict the concentrations of heavy metals (zinc, boron, and manganese) in surface waters of the Oued Inaouen watershed flowing t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f458c394da3a7a92726dd8a92c27d099
https://doi.org/10.31219/osf.io/dk8mq

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A comparative study of back-propagation algorithms: Levenberg-Marquart and BFGS for the formation of multilayer neural networks for estimation of fluoride

Autor: Rachid EL CHAAL

Publikováno v: Communications in Mathematical Biology and Neuroscience.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::15094b4ed73862f0ec4524626b5957bf
https://doi.org/10.28919/cmbn/7355

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Development of Stochastic Mathematical Models for the Prediction of Heavy Metal Content in Surface Waters Using Artificial Neural Network and Multiple Linear Regression

Autor: Rachid El Chaal, Mouley Othman Aboutafail

Publikováno v: E3S Web of Conferences, Vol 314, p 02001 (2021)

The principal purpose of this study is to build stochastic neuronal models, for the prediction of heavy metal, contents in the surface waters of the Oued Inaouen catchment area of the TAZA region, according to their Physico-chemical parameters; we ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36f94d3cc3df8ebd8b6f541ad160252d
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/90/e3sconf_wmad2021_02001.pdf

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