Artificial Neural Network Modeling of Methylene Blue Adsorption Using Natural Saudi Red Clay
AIP Conference Proceedings, ISSN: 1551-7616, Vol: 2440
2022
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Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Conference Paper Description
The current work reports on the application of an Artificial Neural Network (ANN) for modeling the adsorption process of Methylene Blue (MB) using Saudi Red Clay (SRC) as the adsorbent material. The adsorption experimental data is taken from our earlier published work and modeled using ANN models. ANN models were trained and successfully applied to the experimental data for initial concentration, adsorbent dosage, pH, contact time and temperature. The obtained modeling results fit very well the experimental data with minimum MSE of 0.0004 and R value of 1.
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