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Volumn 32, Issue 23-24, 2009, Pages 4133-4142

Predictions of chromatographic retention indices of alkylphenols with support vector machines and multiple linear regression

Author keywords

Alkylphenols; Kov ts retention indices; Multiple linear regression; Quantitative structure retention relationship; Support vector machine

Indexed keywords

ALKYLPHENOLS; CALCULATED VALUES; CHROMATOGRAPHIC RETENTION; CORRELATION COEFFICIENT; CROSS VALIDATION; CROSS-VALIDATION TESTS; DATA SETS; DESCRIPTORS; HYDROGEN BOND DONORS; MOLECULAR DESCRIPTORS; MOLECULAR DIVERSITY; MULTIPLE LINEAR REGRESSIONS; PARTIAL CHARGES; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; RELATIVE ERRORS; RESIDUAL SUM OF SQUARES; RETENTION INDEX; STANDARD DEVIATION; STATISTICAL PARAMETERS; SVM MODEL; TEST SETS; VALIDATION TEST;

EID: 76649136453     PISSN: 16159306     EISSN: 16159314     Source Type: Journal    
DOI: 10.1002/jssc.200900373     Document Type: Article
Times cited : (19)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.