How to create Neural Network classifier for pattern Recognition ?
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Biomedical
el 30 de Sept. de 2013
Comentada: moahaimen talib
el 6 de Mayo de 2017
I want to create a Neural network with 50 thousand nodes for EEG recognition . Can anybody help me to do this?
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Respuesta aceptada
Greg Heath
el 2 de Oct. de 2013
How many classes/categories? c = ?
What is the dimensionality of your input vectors? I= ?
How many input/target examples do you have? N = ?
Choose the output target vectors to be O = c dimensional unit column vectors with a 1 in the row corresponding to the class index.
[ I N ] = size(input) % = ?
[ O N ] = size(target) % = ?
Using defaults,
Ntrn = N - 2*round(0.15*N) % No. of training examples
Ntrneq = Ntrn*O % No. of training equations
H = 10 % No. of hidden layer nodes
Nw = (I+1)*H+(H+1)*O % No of unknown weights
Is Ntrneq > Nw ?
Is Ntrneq >> Nw ?
Use the help and doc commands and try one or more of the following practice examples
simpleclass_dataset - Simple pattern recognition dataset.
cancer_dataset - Breast cancer dataset.
crab_dataset - Crab gender dataset.
glass_dataset - Glass chemical dataset.
iris_dataset - Iris flower dataset.
ovarian_dataset - Ovarian cancer dataset.
thyroid_dataset - Thyroid function dataset.
wine_dataset - Italian wines dataset.
Search for more info and examples in the NEWSGROUP and ANSWERS using
greg patternnet
Hope this helps.
Thank you for formally accepting my answer
Greg
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moahaimen talib
el 6 de Mayo de 2017
dear sir i need your help i need some explaining of using nn for character recognition i have 20 images to read and i must recognize 20 character of them could please help me
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Shashank Prasanna
el 30 de Sept. de 2013
Here is a walk through example of how to do pattern classification using the Neural Network Toolbox:
Feel free to go through the other examples in the documentation as well.
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