Hi,

In order to have stable results you should use the seed parameter, so that the Random Number Generator used during sample selection always gives the same samples : in the otbcli , it is the parameter key '-rand'.

For the ANN, with the parameter "-classifier.ann.sizes", you can give multiple sizes to have several layers.

HTH,

Guillaume

On 01/18/2016 05:41 PM, Hristo Nikolov wrote:
One more observation - when using polynomial as kernel function I can not set the degree of the polynomial.

On Wednesday, 13 January 2016 15:40:40 UTC+2, Hristo Nikolov wrote:
Dear all,
I have been experimenting with ANN provided from OTB for some months now. 
What I experienced is that as module in QGIS the ANN from OTB has limitation
of creating only single layer networks, but the results produced remain the same
under same initial parameters. Lastly I tried to the otbgui version provided by 
OSGeo4W, but it results that even the parameters in the dialog box are the 
same the output produced and more specifically the error matrix is different 
every time the training takes place.
Could you advise?

Thank you.
Hristo
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