hi
every brain signal , is specific for every mental task, if a person imagine to move his right hand , for this a respectve effect on the input data and its shape , also then if he imagine for the left hand movement this a corresponding effect on the input signal , which is different then first .. so this is the classification procedure for the Brain ( EEG) input data .
i want to classify my data with back propagation algorithm.
Q: how it is possible? please help me , if i wan to apply it in the back propagation algorithm, how much neuron requireds, layes, hidden layers e.tc
hoping help from every body .... feel free share your ideas...........
best regards