Dividing the data into training,testing,validation
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I have a dataset of 75x6,in which i want to divide the data into training ,testing and validation and use rbf neural network to classify them,please tell how to divide and classify using rbfneural network
i used newrbe for training and testing before ,but how to include validation data in it
for reference
please help
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Greg Heath
2012-9-7
编辑：Greg Heath
2016-6-15
>> lookfor divide
...
divideblock - Partition indices into three sets using blocks of indices.
divideind - Partition indices into three sets using specified indices.
divideint - Partition indices into three sets using interleaved indices.
dividerand - Partition indices into three sets using random indices.
dividetrain - Partition indices into training set only.
dividevec - Divide problem vectors into training, validation and test vectors.
>> help divideblock, doc divideblock ...
To use a function like newrbe with divided data:
1. Use the training design data to create several (10?) nets with different spread values.
2. Use the validation training set to choose the best net.
3. Return to 1 if you want to refine your search for an optimal spread value
4. Use the nondesign test set to predict performance on unseen nondesign data.
5. If the result is unsatifactory
a. In order to reduce the bias of future test set predictions,
obtain a new division of the data (perhaps with differet percentages).
b. Return to step 1
Hope this helps
Thank you for accepting my answer.
Greg
10 个评论
FIR
2012-9-8
编辑：Image Analyst
2012-9-8
Greg Heath
2012-9-10
y = sim(net,x);
e = t-y;
MSE = mse(e)
NMSE = MSE/mean(var(t')) % approx
FIR
2012-9-10
Greg Heath
2012-9-11
Why didn't you post your code and the unexpected results?
FIR
2012-9-11
Greg Heath
2012-9-11
编辑：Greg Heath
2012-9-11
I cannot help you if you
1. ignore my advice
2. take my advice, it doesn't work and you do not post the code and error messages
3. do not answer my questions.
Now, IN ADDITION to my previous questions:
Are you trying to use
newrbe (created but not trained ) or
newrb (simultaneously created and trained )
Neither uses validation and/or test sets.
As stated in my outline, they are used separately, after the creation command, using sim(net,xval) and sim(net,xtst)
To answer your last question you can see all of the net properties just
by entering the command (no semicolon)
net
Then look for plotFcn.
If a net doesn't exist your question can still be answered via
net = newrbe
net.plotFcn
Similarly for newrb.
FIR
2012-9-12
FIR
2012-9-12
Greg Heath
2012-9-13
Reread my instructions
Do not enter the command plotFcn.
Either
Enter the command net without the ending semicolon. Then look for plotFcn.
or
Enter the command
net.plotFcn
In fact, do both so that you will understand
FIR
2012-9-14
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