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Volumn 140, Issue 1, 2009, Pages 15-27

Application of principal component-genetic algorithm-artificial neural network for prediction acidity constant of various nitrogen-containing compounds in water

Author keywords

Acidity constant; Artificial neural network; Genetic algorithm; Principal components; Quantitative structure activity relationship

Indexed keywords


EID: 58549107560     PISSN: 00269247     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00706-008-0049-7     Document Type: Article
Times cited : (56)

References (59)
  • 50
    • 58549084851 scopus 로고    scopus 로고
    • Milano Chemometrics and QSPR Group
    • Todeschini R, Milano Chemometrics and QSPR Group, http://www.disat. unimib.it/chm
    • Todeschini, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.