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Volumn 46, Issue 3, 2007, Pages 478-487

Prediction of acidity constant for substituted acetic acids in water using artificial neural networks

Author keywords

Acidity constant; Artificial neural network; Quantitative structure activity relationship; Substituted acetic acids; Theoretical descriptors

Indexed keywords


EID: 34548289853     PISSN: 03764699     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (38)
  • 33
    • 34548244935 scopus 로고    scopus 로고
    • HyperChem, Release 7.0 for Windows, Molecular Modeling System, Hypercube Inc, 2002
    • HyperChem, Release 7.0 for Windows, Molecular Modeling System, Hypercube Inc., 2002.
  • 34
    • 34548288410 scopus 로고    scopus 로고
    • Todeschini R, Consonni V & Pavan M, Dragon Software Version 2.1, 2002
    • Todeschini R, Consonni V & Pavan M, Dragon Software Version 2.1, 2002.
  • 38
    • 34548279775 scopus 로고    scopus 로고
    • Matlab 6.5. Mathworks, 1984-2002.
    • Matlab 6.5. Mathworks, 1984-2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.