[QSAR] add correction layer to neural network
List for Members of Cheminformatics and QSAR Society
qsar_society at qsar.org
Mon May 26 04:10:54 EDT 2008
Dear Ines,
I think your question is more to MathLab forum
http://mathforum.org/kb/forum.jspa?forumID=80
About problem of overfitting/overtraining you can find some classical
advices at http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-10.html
(and, in general I would recommend to read this FAQ completely).
Bayesian regularization is one way, while classical early stopping
using ensemble modeling is another one.
Best regards,
Igor Tetko
On May 24, 2008, at 2:45 AM, List for Members of Cheminformatics and
QSAR Society wrote:
> Hi Ines,
>
> Do you mean a hidden layer? What network architecture do you want?
> Have you tried Bayesian regularization to prevent overtraining and
> overfitting?
>
> -----Original Message-----
> From: qsar_society-bounces at ccl.net on behalf of List for Members of
> Cheminformatics and QSAR Society
> Sent: Fri 5/23/2008 09:32
> To: qsar at qsar.org
> Cc:
> Subject: [QSAR] add correction layer to neural network
>
>
>
> Dear all,
> How can I add a correction layer to neural network in MATLAB
> software?
> Any help would be greatly appreciated.
> Thanks in advance
> Best wishes
> Inas
>
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Dr. Igor V. Tetko
Institute of Bioinformatics and Systems Biology
Helmholtz Zentrum München
German Research Center for Environmental Health
Ingolstaedter Landstrasse 1,
D-85764 Neuherberg, Germany
Tel./Fax: +49-89-3187-3575/x85
e-mail: itetko at vcclab.org, itetko at gmail.com
http://www.vcclab.org -- Virtual Computational Chemistry Laboratory:
free on-line calculation of logP/S, CORINA/DRAGON indices, PLS, ASNN,
PNN and etc.
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