Application of Different Artificial Neural Networks Retention Models for Multi-Criteria Decision-Making Optimization in Gradient Ion Chromatography-Reference-Cited by-同舟云学术

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Application of Different Artificial Neural Networks Retention Models for Multi-Criteria Decision-Making Optimization in Gradient Ion Chromatography

Published:2010-01-29 Issue:2 Volume:45 Page:236-243
ISSN:0149-6395
Container-title:Separation Science and Technology
language:en
Short-container-title:Separation Science and Technology

Author:

Bolanča Tomislav,Cerjan-Stefanović Štefica,Luša Melita,Ukić Šime,Rogošić Marko

Publisher

Informa UK Limited

Subject

Filtration and Separation,Process Chemistry and Technology,General Chemical Engineering,General Chemistry

Link

http://www.tandfonline.com/doi/pdf/10.1080/01496390903417958

Reference25 articles.

1. Anion Chromatography with low-conductivity eluents. II.

2. Multiple Eluent and pH Effects on Ion Chromatography of Phosphate and Arsenate

3. Ion chromatographic elution behaviour and prediction of the retention of inorganic monovalent anions using a phosphate eluent

4. Prediction of Retention Characteristics of Multiprotic Anions in Ion Chromatography

5. Prediction of Retention for Halide Anions and Oxoanions in Suppressed Ion Chromatography Using Multiple Species Eluent

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2. Computer Assisted Method Development in Liquid Chromatography;Croatica Chemica Acta;2014

3. Effect of Operating Conditions on PV Performance of PVA Membranes: Experimental and Neural Network Modeling;Separation Science and Technology;2012-06

4. Optimizing a chromatographic three component separation: A comparison of mechanistic and empiric modeling approaches;Journal of Chromatography A;2012-05

5. Multi-criteria decision making development of ion chromatographic method for determination of inorganic anions in oilfield waters based on artificial neural networks retention model;Analytica Chimica Acta;2012-02

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