SCOPUS 정보 검색 플랫폼

Volumn 1085, Issue 1, 2005, Pages 74-85

Development of an inorganic cations retention model in ion chromatography by means of artificial neural networks with different two-phase training algorithms

(5) Bolanča, Tomislav a Cerjan Stefanović, Štefica a Regelja, Melita a Regelja, Hrvoje b Lončarić, Sven c

a UNIVERSITY OF ZAGREB (Croatia)

b Helix Ltd (Croatia)

c UNIVERSITY OF ZAGREB (Croatia)

Author keywords

Artificial neural networks; Inorganic cations; Ion chromatography; Retention modelling

Indexed keywords

AMMONIA; CHROMATOGRAPHIC ANALYSIS; LITHIUM; POTASSIUM; PROBABILITY; SODIUM; STATISTICAL METHODS;

BACK PROPAGATION; CATION RETENTION MODELS; ELUENT FLOW RATE; ION CHROMATOGRAPHY (IC); METHASULPHONIC ACID (MSA); MULTILAYERED FEED FORWARD NEURAL NETWORK;

NEURAL NETWORKS;

AMMONIA; BARIUM; CALCIUM; CATION; LITHIUM; MAGNESIUM; POTASSIUM; SODIUM; STRONTIUM; SULFONIC ACID DERIVATIVE;

ACCURACY; ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; CONCENTRATION (PARAMETERS); CONFERENCE PAPER; FLOW RATE; ION PAIR CHROMATOGRAPHY; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; TRAINING;

ALGORITHMS; BARIUM; CALCIUM; CATIONS; CHROMATOGRAPHY, LIQUID; IONS; LITHIUM; MAGNESIUM; NEURAL NETWORKS (COMPUTER); POTASSIUM; QUATERNARY AMMONIUM COMPOUNDS; REPRODUCIBILITY OF RESULTS; SODIUM; STRONTIUM; TIME FACTORS;

EID: 22244491623 PISSN: 00219673 EISSN: None Source Type: Journal
DOI: 10.1016/j.chroma.2005.02.018 Document Type: Conference Paper

Times cited : (32)

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