Artificial neural networks in liquid chromatography: efficient and improved quantitative structure–retention relationship models

Liquid Chromatography ◽

Quantitative Structure ◽

Structure Retention ◽

Artificial Neural ◽

Quantitative structure-retention relationship model for the determination of naratriptan hydrochloride and its impurities based on artificial neural networks coupled with genetic algorithm

Talanta ◽

10.1016/j.talanta.2016.11.041 ◽

2017 ◽

Vol 164 ◽

pp. 164-174 ◽

Cited By ~ 5

Author(s):

Mikołaj Mizera ◽

Anna Krause ◽

Przemysław Zalewski ◽

Robert Skibiński ◽

Judyta Cielecka-Piontek

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Quantitative Structure ◽

Relationship Model ◽

Structure Retention ◽

Artificial Neural ◽

Prediction of gradient retention from the linear solvent strength (LSS) model, quantitative structure-retention relationships (QSRR), and artificial neural networks (ANN)

Journal of Separation Science ◽

10.1002/jssc.200390033 ◽

2003 ◽

Vol 26 (3-4) ◽

pp. 271-282 ◽

Cited By ~ 50

Author(s):

Roman Kaliszan ◽

Tomasz B??czek ◽

Adam Buciński ◽

Bogusław Buszewski ◽

Małgorzata Sztupecka

Keyword(s):

Neural Networks ◽

Quantitative Structure Retention Relationships

Quantitative Structure ◽

Solvent Strength ◽

Structure Retention ◽

Artificial Neural ◽

The Chemometric Study and Quantitative Structure Retention Relationship Modeling of Liquid Chromatography Separation of Ziprasidone Components

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/138620712803519699 ◽

2012 ◽

Vol 15 (9) ◽

pp. 730-744 ◽

Cited By ~ 5

Author(s):

Katarina Nikolic ◽

Marija Pavlovic ◽

Adam Smolinski ◽

Danica Agbaba

Keyword(s):

Liquid Chromatography ◽

Quantitative Structure ◽

Liquid Chromatography Separation ◽

Structure Retention ◽

Epothilones: Quantitative Structure Activity Relations Studied by Support Vector Machines and Artificial Neural Networks

QSAR & Combinatorial Science ◽

10.1002/qsar.200330837 ◽

2003 ◽

Vol 22 (7) ◽

pp. 722-728 ◽

Cited By ~ 15

Author(s):

Annalen Bleckmann ◽

Jens Meiler

Keyword(s):

Neural Networks ◽

Support Vector Machines ◽

Support Vector ◽

Quantitative Structure ◽

Structure Activity ◽

Structure Activity Relations ◽

Vector Machines ◽

Review Biologicals & Immunologicals: Applications of artificial neural networks to quantitative structure-activity relationships

Expert Opinion on Therapeutic Patents ◽

10.1517/13543776.6.3.239 ◽

1996 ◽

Vol 6 (3) ◽

pp. 239-251 ◽

Cited By ~ 13

Author(s):

Desmond J Maddalena

Keyword(s):

Neural Networks ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships ◽

Evaluating “Fast” Micellar Monolithic Liquid Chromatography for High-Throughput Quantitative Structure−Retention Relationship Screening

Analytical Chemistry ◽

10.1021/ac030339e ◽

2004 ◽

Vol 76 (7) ◽

pp. 1903-1908 ◽

Cited By ~ 14

Author(s):

Ann Detroyer ◽

Yvan Vander Heyden ◽

Katrien Reynaert ◽

Desire L. Massart

Keyword(s):

Liquid Chromatography ◽

High Throughput ◽

Quantitative Structure ◽

Structure Retention ◽

Optimization of a high-performance liquid chromatography system by artificial neural networks for separation and determination of antioxidants

Journal of Separation Science ◽

10.1002/jssc.200401719 ◽

2004 ◽

Vol 27 (14) ◽

pp. 1189-1194 ◽

Cited By ~ 20

Author(s):

Huaiwen Wang ◽

Weimin Liu

Keyword(s):

Neural Networks ◽

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

High Performance ◽

Artificial Neural ◽

Liquid Chromatography System

Use of Artificial Neural Networks for the Accurate Prediction of Peptide Liquid Chromatography Elution Times in Proteome Analyses

Analytical Chemistry ◽

10.1021/ac0205154 ◽

2003 ◽

Vol 75 (5) ◽

pp. 1039-1048 ◽

Cited By ~ 194

Author(s):

Konstantinos Petritis ◽

Lars J. Kangas ◽

Patrick L. Ferguson ◽

Gordon A. Anderson ◽

Ljiljana Paša-Tolić ◽

...

Keyword(s):

Neural Networks ◽

Liquid Chromatography ◽

Accurate Prediction ◽

Optimisation of the separation of herbicides by linear gradient high performance liquid chromatography utilising artificial neural networks

Talanta ◽

10.1016/j.talanta.2006.06.031 ◽

2007 ◽

Vol 71 (3) ◽

pp. 1268-1275 ◽

Cited By ~ 31

Author(s):

Anh T.K. Tran ◽

Ross V. Hyne ◽

Fleur Pablo ◽

W. Roy Day ◽

P. Doble

Keyword(s):

Neural Networks ◽

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

High Performance ◽

Linear Gradient ◽

Optimization of Artificial Neural Networks for Modeling of Atorvastatin and Its Impurities Retention in Micellar Liquid Chromatography

Chromatographia ◽

10.1007/s10337-011-1994-6 ◽

2011 ◽

Vol 73 (9-10) ◽

pp. 993-998 ◽

Cited By ~ 11

Author(s):

Anđelija Malenović ◽

Biljana Jančić-Stojanović ◽

Nađa Kostić ◽

Darko Ivanović ◽

Mirjana Medenica

Keyword(s):

Neural Networks ◽

Liquid Chromatography ◽

Micellar Liquid Chromatography ◽