Is it necessary to test a neural networks with data set unseen by ANN ??

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Purpose: A neural networks, when properly trianed must have ability to generalize and not behave just like a memory.
So, for me i used MLP( 7 inputs,1 ouputs, 1 hidden layer) type's of ANN with 13 years data set, i divided these data as following :
- 10 years data set to train my ANN
- 3 years unseen by ANN to test my model
My question is,can i delete this command 'net.divideparam.testRatio' since i used data unseen by ANN ????
net.divideParam.trainRatio = 75/100;
net.divideParam.valRatio = 15/100;
|net.divideParam.testRatio = 10/100; (I think this command is not necessary!!! can i delete it ??)

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Greg Heath
Greg Heath 2015-2-27
Just put all of the data into the net.
Then choose the datadivision mode and indexing that suits the problem.
Nothing more is needed.
  1 个评论
omar belhaj
omar belhaj 2015-2-28
So, that I "ve understood from your answer for exemple for this case data set 13 years
net.divideParam.trainRatio = 75/100;( about 10 years are used for training)
net.divideParam.valRatio = 15/100; (about 2 years are used for validaition to avoid "overfitting")
|net.divideParam.testRatio = 10/100 ( about 1 year used to test our model, we can consired that unseen by NN !!)

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