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how to apply DATA to inputs in neural network MLP?

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helia mb
helia mb 2016-10-1
评论： helia mb 2016-10-4
hello, i want to create a network but i don't know how to apply my data.my data is 64 person that 15 people have park , 20 hunt ,13 als and 16 control. each one has 13 feature and about 300 row (not all of them exactly the same).i want to input my data for training. the output of this data is 4 neuron (als, hunt,park,cont). the network should diagnose this 4. how should i apply this input in MLP? i will be appriciate if any one can help me. ps, i attached each of my data not all of them.
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Walter Roberson
Walter Roberson 2016-10-1
What do the rows represent? How do you know the boundary between one person and the next in the data?
I gather you are looking at Parkinson's, Huntington's, Amyotrophic Lateral Sclerosis, and controls.
helia mb
helia mb 2016-10-2
the row data is time. and all of this attach file is for one person having that disease. i got my data from here you can look if you want http://www.physionet.org/physiobank/database/gaitndd/?M=A

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回答（1 个）

Greg Heath
Greg Heath 2016-10-1
Data must consist of N pairs:
I-dimensional "I"nputs in an I x N matrix
and a corresponding
O x N "O"utput target matrix with O-dimensional columns
[ I N ] = size(input)
[ O N ] = size(target)
For a simple classification example use the commands
help patternnet
doc patternnet
for more extensive examples search BOTH NEWSGROUP and ANSWERS with
greg patternnet tutorial
and
greg patternnet
Hope this helps,
Thank you for formally accepting my answer
Greg
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helia mb
helia mb 2016-10-4
i really appreciate for answering me but i need some one to told me exactly what should i do. what ever thank you.

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