Application of a genetic algorithm and an artificial neural network for global prediction of the toxicity of phenols to Tetrahymena pyriformis

ABSTRACT: Genetic algorithm (multiparameter linear regression; GA-MLR) and genetic algorithm–artificial neural network (GA-ANN) global models have been used for prediction of the toxicity of phenols to Tetrahymena pyriformis. The data set was divided into 150 molecules for training, 50 molecules for...

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Detalles Bibliográficos
Autores principales: Habibi-Yangjeh, Aziz, Danandeh-Jenagharad, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2009
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494849/
https://www.ncbi.nlm.nih.gov/pubmed/26166848
http://dx.doi.org/10.1007/s00706-009-0185-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494849/
https://www.ncbi.nlm.nih.gov/pubmed/26166848
http://dx.doi.org/10.1007/s00706-009-0185-8

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