Prediction of normalized polarity parameter in binary mixed solvent systems using artificial neural networks

Physics and Chemistry of Liquids

Volumn 43, Issue 3, 2005, Pages 239-247

  Habibi Yangjeh, Aziz ^a   Nooshyar, Mahdi ^a  

^a UNIVERSITY OF MOHAGHEGH ARDABILI   (Iran)

Author keywords

Artificial neural networks; Binary mixed solvent systems; Normalized polarity parameter; Solvatochromic parameters

Indexed keywords

BACKPROPAGATION; BINARY MIXTURES; CORRELATION METHODS; ERROR ANALYSIS; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; OPTIMIZATION;

BINARY MIXED SOLVENT SYSTEMS; CORRELATION COEFFICIENT; INDIVIDUAL PERCENT DEVIATION (IPD); NORMALIZED POLARITY PARAMETER;

SOLVENTS;

BINARY MIXTURE;

EID: 20444503936     PISSN: 00319104     EISSN: None     Source Type: Journal    
DOI: 10.1080/00319100500061233     Document Type: Article

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