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Volumn 23, Issue 9, 2002, Pages 1279-1284
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Predicting and evaluating separation quality of micellar electrokinetic capillary chromatography by artificial neural networks
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Author keywords
Artificial neural networks; Micellar electrokinetic capillary chromatography; Orthogonal experimental design; Plant hormones
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Indexed keywords
ELECTRODYNAMICS;
ENDOCRINOLOGY;
HORMONES;
LIQUID CHROMATOGRAPHY;
STATISTICS;
ANALYSIS TIME;
COMPUTER-AIDED OPTIMIZATIONS;
LEVENBERG-MARQUARDT ALGORITHM;
MICELLAR ELECTROKINETIC CAPILLARY CHROMATOGRAPHY;
NETWORK-BASED;
NOVEL CRITERION;
ORTHOGONAL EXPERIMENTAL DESIGN;
PLANT HORMONE;
SEPARATION ANALYSIS;
SEPARATION SELECTIVITY;
NEURAL NETWORKS;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
AUTOMATION;
CHEMICAL ANALYSIS;
CONTROLLED STUDY;
ELECTROPHORETIC MOBILITY;
MICELLAR ELECTROKINETIC CHROMATOGRAPHY;
PROCESS OPTIMIZATION;
QUALITY CONTROL;
SEPARATION TECHNIQUE;
TIME PERCEPTION;
COMPUTER SIMULATION;
ISOLATION AND PURIFICATION;
STANDARD;
PHYTOHORMONE;
ALGORITHMS;
CHROMATOGRAPHY, MICELLAR ELECTROKINETIC CAPILLARY;
COMPUTER SIMULATION;
NEURAL NETWORKS (COMPUTER);
PLANT GROWTH REGULATORS;
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EID: 0036258046
PISSN: 01730835
EISSN: None
Source Type: Journal
DOI: 10.1002/1522-2683(200205)23:9<1279::AID-ELPS1279>3.0.CO;2-P Document Type: Article |
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Times cited : (5)
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References (27)
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