Boiling point and critical temperature of a heterogeneous data set: QSAR with atom type electrotopological state indices using artificial neural networks

Journal of Chemical Information and Computer Sciences

Volumn 36, Issue 5, 1996, Pages 1004-1014

  Hall, Lowell H ^a   Story, C T ^a,b  

^a EASTERN NAZARENE COLLEGE   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

Artificial neural network; Atom type; Boiling point; Critical temperature; Electrotopological state (E state); Molconn; QSAR QSPR

Indexed keywords

EID: 0000497238     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci960375x     Document Type: Article

References (17)

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