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

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

<p>The aim of this work was the comparison between <em>&kappa;</em>-Nearest Neighbors (<em>&kappa;</em>-NN) and Counterpropagation Artificial Neural network (CP-ANN) classification methods for modeling the toxicity of a set of 192 organochlorinated, organophosph...

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Bibliographic Details
Main Authors: Fernando Cárdenas, Piercosimo Tripaldi, Cristian Rojas
Format: Article
Language:English
Published: Universidad San Francisco de Quito USFQ 2014-12-01
Series:ACI Avances en Ciencias e Ingenierías
Subjects:
Pesticidas
κ-NN
CP-ANN
GA-VSS
Teoría QSAR
Online Access:http://revistas.usfq.edu.ec/index.php/avances/article/view/169

Internet

http://revistas.usfq.edu.ec/index.php/avances/article/view/169

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