Corrigendum to “Classification of oestrogen receptor selective compounds with benzopyranskeleton using counterpropagation artificial neural networks optimised by genetic algorithms” (Chemom. Intell. Lab. Syst. (2015) 385–395)

Corrigendum to “Classification of oestrogen receptor selective compounds with... The authors regret their oversight in crediting Dr. David Ballabio and his team for their excellent work that was helpful in the research of this paper, and wish to thank them.</P>The correct reference is: D. Ballabio, M. Vasighi, V. Consonni, M. Kompany-Zareh, Genetic Algorithms for architecture optimisation of Counter-Propagation Artificial Neural Networks, Chemometrics and Intelligent Laboratory Systems, 2011, pp. 56–64.</P>This reference should be cited in the following locations in the manuscript:</P>In Section 2.3: “The Kohonen and CP-ANN toolbox for MATLAB was used for data set split in an easy-to-use graphical user interface (GUI) environment”.</P>In Section 2.5: “a fitness function (balanced NER on the test set), suggested by Ballabio et al. [33], that is able to simultaneously evaluate the presence of predictive and not-overfitted models is applied in the toolbox” (Ballabio et al.).</P>In Section 2.5: “The Kohonen and CP-ANN toolbox for MATLAB was used for data set split in an easy-to-use graphical user interface (GUI) environment” (Ballabio et al.).</P>The authors would like to apologise for any inconvenience caused.</P> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Chemometrics and Intelligent Laboratory Systems Elsevier

Corrigendum to “Classification of oestrogen receptor selective compounds with benzopyranskeleton using counterpropagation artificial neural networks optimised by genetic algorithms” (Chemom. Intell. Lab. Syst. (2015) 385–395)

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Publisher
Elsevier
Copyright
Copyright © 2015 Elsevier B.V.
ISSN
0169-7439
eISSN
1873-3239
D.O.I.
10.1016/j.chemolab.2015.07.011
Publisher site
See Article on Publisher Site

Abstract

The authors regret their oversight in crediting Dr. David Ballabio and his team for their excellent work that was helpful in the research of this paper, and wish to thank them.</P>The correct reference is: D. Ballabio, M. Vasighi, V. Consonni, M. Kompany-Zareh, Genetic Algorithms for architecture optimisation of Counter-Propagation Artificial Neural Networks, Chemometrics and Intelligent Laboratory Systems, 2011, pp. 56–64.</P>This reference should be cited in the following locations in the manuscript:</P>In Section 2.3: “The Kohonen and CP-ANN toolbox for MATLAB was used for data set split in an easy-to-use graphical user interface (GUI) environment”.</P>In Section 2.5: “a fitness function (balanced NER on the test set), suggested by Ballabio et al. [33], that is able to simultaneously evaluate the presence of predictive and not-overfitted models is applied in the toolbox” (Ballabio et al.).</P>In Section 2.5: “The Kohonen and CP-ANN toolbox for MATLAB was used for data set split in an easy-to-use graphical user interface (GUI) environment” (Ballabio et al.).</P>The authors would like to apologise for any inconvenience caused.</P>

Journal

Chemometrics and Intelligent Laboratory SystemsElsevier

Published: Oct 15, 2015

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