MATLAB: How to implement neural network for eeg motor imagery classification

classificationeegelectric_motor_controlnnstartpower_electronics_control

I extracted a 140×16 feature table with each line representing the feature vector of one experiment.Also i have the class labels of the 140 experiments.My intention is to use a neural network to classify my experiments by using half or a percentage of them for training the network and the rest for classification.Can anyone guide me?

Best Answer

If you have c classes, the target columns should be columns of the c-dimension unit matrix eye(c).
 [ I N ]  = size(input) % [ 16 140 ]
 [ c N ] = size(target)  % [c  140 ]
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Hope this helps.
Thank you for formally accepting my answer
Greg
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