What is the difference between 'divideblock' and 'divideint'?
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In Neural Network Toolbox, what is the difference between 'divideblock' and 'divideint'?
net.divideFcn = 'divideblock';
net.divideParam.trainRatio = 0.6;
net.divideParam.valRatio   = 0.2;
net.divideParam.testRatio  = 0.2;
---------------------------------------------------------
net.divideFcn = 'divideint';
net.divideParam.trainRatio = 0.6;
net.divideParam.valRatio   = 0.2;
net.divideParam.testRatio  = 0.2;
And what that means 'divideMode'?
net.divideMode = 'sample';
where 'sample' can be replaced by 'time', 'sampletime', 'all' or 'none'.
Thank you!
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Accepted Answer
  Greg Heath
      
      
 on 12 Feb 2014
        Have you tried using the help and doc commands?
Have you tried using simple examples without the ending semicolon?
 help divideblock
 doc divideblock
 [trainInd,valInd,testInd] = divideblock(10,0.6,0.2,0.2)
 help divideint
 doc divideint
[trainInd,valInd,testInd] = divideint(10,0.6,0.2,0.2)
I don't know what sampletime, all or none mean.
However for the creation functions I use
 net1 = fitnet;
 dividemode1 = net1.dividemode
 net2 = patternnet;
 dividemode2 = net2.dividemode
 net3 = selforgmap;
 dividemode3 = net3.dividemode
 net4 = timedelaynet;
 dividemode4 = net4.dividemode
 net5 = narnet;
 dividemode5 = net5.dividemode
 net6 = narxnet;
 dividemode6 = net6.dividemode
Please let us know if you can find creation functions with the other modes.
Hope this helps.
Thank you for formally accepting my answer
Greg
3 Comments
  Marek Zidek
 on 18 Jan 2018
				
      Edited: Marek Zidek
 on 18 Jan 2018
  
			divideBlock and divideMode is easy. However, I still cannot understand how divideInt works after using doc, help and fiddling with it.
  Greg Heath
      
      
 on 18 Jan 2018
				With divideInt you directly define the integer coordinates for each data division subset.
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