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Volumn 11, Issue 1, 2012, Pages 127-141

In silico prediction of melting points of ionic liquids by using multilayer perceptron neural networks

Author keywords

application domain; ionic liquids; neural networks; Quantitative structure property relationship

Indexed keywords


EID: 84857204193     PISSN: 02196336     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219633612500083     Document Type: Article
Times cited : (10)

References (40)
  • 14
    • 33746304350 scopus 로고
    • QSAR prediction of melting point, a property of environmental relevance
    • Veldhoven, The Netherlands
    • Dearden JC, QSAR Prediction of Melting Point, A Property of Environmental Relevance, In Proc 4th Int Workshop on QSAR in Environmental Toxicology, Veldhoven, The Netherlands, 1990.
    • (1990) Proc 4th Int Workshop on QSAR in Environmental Toxicology
    • Dearden, J.C.1
  • 25
    • 84857203895 scopus 로고    scopus 로고
    • http://www.il-eco.uft.uni-bremen.de/
  • 26
    • 84857203893 scopus 로고    scopus 로고
    • http://ilthermo.boulder.nist.gov/ILThermo/pureprp.uix.do
  • 27
    • 84857226558 scopus 로고    scopus 로고
    • http://www.acdlabs.com/download/
  • 30
    • 84857226559 scopus 로고    scopus 로고
    • http://www.disat.unimib.it%252Fchm%252F
  • 33
    • 84857212406 scopus 로고    scopus 로고
    • http://www.statsoft.com/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.