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Volumn 355, Issue , 2013, Pages 87-91

Modeling of pure compounds surface tension using QSPR

Author keywords

Group contribution; Molecular modeling; Neural networks; QSPR; Surface tension

Indexed keywords

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); CORRELATION COEFFICIENT; GROUP CONTRIBUTIONS; PURE COMPOUNDS; PURE LIQUIDS; QSPR; TENSION PROPERTY; THEORETICAL METHODS;

EID: 84882974717     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2013.06.052     Document Type: Article
Times cited : (18)

References (12)
  • 10
    • 84882994871 scopus 로고    scopus 로고
    • The MathWorks Inc., Massachusetts
    • MATLAB V6.5 Neural Network toolbox 2003, The MathWorks Inc., Massachusetts. http://www.mathworks.com/.
    • (2003) MATLAB V6.5 Neural Network toolbox
  • 11
    • 84884510856 scopus 로고
    • API Technical Data book on Petroleum Refining
    • API, Washington, DC
    • API Technical Data book on Petroleum Refining. The American Petroleum Institute 1987, API, Washington, DC. 6th ed.
    • (1987) The American Petroleum Institute


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.