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Volumn 358, Issue 1, 2011, Pages 202-207

QSPR modeling of nonionic surfactant cloud points: An update

Author keywords

Cloud point; Nonionic surfactant; Principal component analysis; Projection pursuit regression; QSPR; Support vector machine

Indexed keywords

CLOUD POINTS; CROSS VALIDATION; DATA SETS; DESCRIPTORS; GENERALIZATION ABILITY; GENERIC ALGORITHM; NON-LINEAR MODEL; OPTIMUM MODEL; PROJECTION PURSUIT REGRESSION; QSPR; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP MODELS; RELIABLE MODELS; TEST SETS;

EID: 79953293096     PISSN: 00219797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jcis.2011.02.042     Document Type: Article
Times cited : (16)

References (24)
  • 16
    • 79953319691 scopus 로고    scopus 로고
    • Hypercube Inc., HyperChem
    • HyperChem Release 6.0 for Windows 2000, Hypercube Inc.
    • (2000) Release 6.0 for Windows
  • 20
    • 0003401675 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Regression
    • NeuroCOLT2 Technical Report Series, NC2-TR-1998-030,
    • A.J. Smola, B. Schölkopf, A Tutorial on Support Vector Regression, NeuroCOLT2 Technical Report Series, NC2-TR-1998-030, 1998.
    • (1998)
    • Smola, A.J.1    Schölkopf, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.