Artificial neural networks for modeling the reverse osmosis unit in a wastewater pilot treatment plant-Reference-Cited by-同舟云学术

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Artificial neural networks for modeling the reverse osmosis unit in a wastewater pilot treatment plant

Published:2013-11-20 Issue: Volume: Page:1-11
ISSN:1944-3994
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

Salgado-Reyna A.,Soto-Regalado E.,Gómez-González R.,Cerino-Córdova F.J.,García-Reyes R.B.,Garza-González M.T.,Alcalá-Rodríguez M.M.

Publisher

Informa UK Limited

Subject

Pollution,Ocean Engineering,Water Science and Technology

Link

http://www.tandfonline.com/doi/pdf/10.1080/19443994.2013.862023

Reference28 articles.

1. Integrated concepts in water reuse: managing global water needs

2. Mathematical modeling of biosorption of safranin onto rice husk in a packed bed column using artificial neural network analysis

3. Neural network modeling of Pb2+ removal from wastewater using electrodialysis

4. Physico-chemical Treatment of Wastewater From Clusters of Small Scale Cotton Textile Units

5. A comparative study of tertiary wastewater treatment by physico-chemical-UV process and macrofiltration–ultrafiltration technologies

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1. Artificial neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment;Journal of Industrial and Engineering Chemistry;2024-05

2. A holistic framework for improving the prediction of reverse osmosis membrane performance using machine learning;Desalination;2024-04

3. Investigating Novel Thin-Film Nanocomposite Membranes for Sustainable Water Recovery Using Fertilizer-Driven Forward Osmosis- Experimental and Machine Learning Approaches;2024

4. Advancements in Water Desalination Through Artificial Intelligence: a Comprehensive Review of AI-Based Methods for Reverse Osmosis Membrane Processes;Water Conservation Science and Engineering;2023-10-13

5. Assessment of organic micropollutants rejection by forward osmosis system using interpretable machine learning-assisted approach: A new perspective on optimization of multifactorial forward osmosis process;Journal of Environmental Chemical Engineering;2023-10

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