MATLAB: How to set manually training and test data for training a neural network

neuralnetwork sampling learning

Hello All,

I am making some experiments with mathlab neural network toolbox. Usually to train a neural network i give some training and test data and the net object takes care of dividing the data. However what i need to do is divide the data by myself and set the training and test data explicitly in the net object.

If it is needed some aditional explanation please tell me. Any help would be appreciated.

Thanks.

Best Answer

Read this:

http://www.mathworks.com/help/nnet/ug/divide-data-for-optimal-neural-network-training.html

You want the divideind option.

Related Solutions

MATLAB: I am making some experiments with mathlab neural network toolbox. Usually to train a neural network i give some training and test data and the net object takes care of dividing the data. However what i need to do is divide the data by theself and s

Use the help and doc commands on

 dividetrain
 dividerand
 divideind
 dividetint
 divideblock

Hope this helps.

Greg

MATLAB: NN Training Data

The optimal ratio for training, validation and testing depends on the data.

The MATLAB default is 70/15/15

The default split for 10-fold cross-validation is 80/10/10

Hope this helps

Greg

Best Answer

Related Solutions

MATLAB: I am making some experiments with mathlab neural network toolbox. Usually to train a neural network i give some training and test data and the net object takes care of dividing the data. However what i need to do is divide the data by theself and s

MATLAB: NN Training Data

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