SCOPUS 정보 검색 플랫폼

Volumn 910, Issue 1, 2001, Pages 173-179

Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks

(4) Madden, John E a,c Avdalovic, Nebojsa b Haddad, Paul R c Havel, Josef a

a MASARYK UNIVERSITY (Czech Republic)

b DIONEX CORPORATION (United States)

c UNIVERSITY OF TASMANIA (Australia)

Author keywords

Gradient elution; Inorganic anions; Mobile phase composition; Neural networks, artificial; Organic acids; Retention prediction

Indexed keywords

ANION; CARBOXYLIC ACID; HYDROXIDE; INORGANIC ACID;

ANION EXCHANGE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL COMPOSITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; ION PAIR CHROMATOGRAPHY; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; PREDICTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ANIONS; CHROMATOGRAPHY, LIQUID; ELECTROCHEMISTRY; HYDROXIDES; NEURAL NETWORKS (COMPUTER);

EID: 0035937015 PISSN: 00219673 EISSN: None Source Type: Journal
DOI: 10.1016/S0021-9673(00)01185-7 Document Type: Article

Times cited : (73)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.