Coupling a Feedforward Network (FN) Model to Real Adsorbed Solution Theory (RAST) to Improve Prediction of Bisolute Adsorption on Resins
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States
Funder
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Publisher
American Chemical Society (ACS)
Subject
Environmental Chemistry,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.est.0c03700
Reference51 articles.
1. Quantitative Structure−Property Relationship (QSPR) for the Adsorption of Organic Compounds onto Activated Carbon Cloth: Comparison between Multiple Linear Regression and Neural Network
2. Modeling Nonlinear Adsorption to Carbon with a Single Chemical Parameter: A Lognormal Langmuir Isotherm
3. Sorption Mechanism and Predictive Models for Removal of Cationic Organic Contaminants by Cation Exchange Resins
4. Interaction Mechanisms and Predictive Model for the Sorption of Aromatic Compounds onto Nonionic Resins
5. Understanding and Modeling Removal of Anionic Organic Contaminants (AOCs) by Anion Exchange Resins
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