Quantitative Structure-Activity Relationship study for pesticides by means of classification techniques

The aim of this work was the comparison between k-Nearest Neighbors (k-NN) and Counterpropagation Artificial Neural network (CP-ANN) classification methods for modeling the toxicity of a set of 192 organochlorinated, organophosphates, carbamates, and pyrethroid pesticides measured as effective conce...

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Detalles Bibliográficos
Autores principales:	Cárdenas, Fernando, Tripaldi, Piercosimo, Rojas Villa, Cristian Xavier
Formato:	Articulo
Lenguaje:	Español
Publicado:	2014
Materias:	Química Pesticides k-NN CP-ANN GA-VSS QSAR Theory
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/112921 https://revistas.usfq.edu.ec/index.php/avances/article/view/169
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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