Application of Different artificial neural networks retention models for multi-criteria decision-making optimization in gradient ion chromatography

Separation Science and Technology

Volumn 45, Issue 2, 2010, Pages 236-243

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

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Artificial neural networks; Ion chromatography; Multi criteria decision making

Indexed keywords

ANALYSIS TIME; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; GRADIENT ELUTION; MULTI CRITERIA DECISION MAKING; MULTI LAYER PERCEPTRON; OPTIMIZATION STRATEGY; PRODUCT SEPARATION; RADIAL BASIS; RADIAL BASIS FUNCTIONS; RESPONSE FUNCTIONS; RESPONSE SURFACE; RETENTION MODELS; ROBUSTNESS CRITERION; SEPARATION CRITERION; SEPARATION FACTORS;

CHROMATOGRAPHIC ANALYSIS; CHROMATOGRAPHY; DECISION MAKING; ION CHROMATOGRAPHY; IONS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS;

NEURAL NETWORKS;

CHROMATOGRAPHY; DECISION MAKING; NEURAL NETWORK; OPTIMIZATION; PHASE SEPARATION;

EID: 77949358348     PISSN: 01496395     EISSN: 15205754     Source Type: Journal    
DOI: 10.1080/01496390903417958     Document Type: Article

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