Prediction of biomagnification factors for some organochlorine compounds using linear free energy relationship parameters and artificial neural networks

SAR and QSAR in Environmental Research

Volumn 20, Issue 5-6, 2009, Pages 453-465

  Fatemi, M H ^a,b   Abraham, M H ^b   Haghdadi, M ^c  

^a UNIVERSITY OF MAZANDARAN   (Iran)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Biomagnification factor; Linear free energy relationship; Organochlorine pollutant; QSAR

Indexed keywords

CHLORINE COMPOUNDS; COMPUTATIONAL CHEMISTRY; ERRORS; FORECASTING; FREE ENERGY; MEAN SQUARE ERROR; NEURAL NETWORKS; SENSITIVITY ANALYSIS;

ARTIFICIAL NEURAL NETWORK MODELING; BIOMAGNIFICATION FACTORS; DESCRIPTORS; FEATURE MAPPING; LINEAR FREE ENERGY RELATIONSHIPS; MULTIPLE LINEAR REGRESSIONS; NONLINEAR ARTIFICIAL NEURAL NETWORKS; ORGANOCHLORINE COMPOUNDS; ORGANOCHLORINE POLLUTANTS; QSAR;

MULTIPLE LINEAR REGRESSION;

EID: 70649101191     PISSN: 1062936X     EISSN: 1029046X     Source Type: Journal    
DOI: 10.1080/10629360903278776     Document Type: Article

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