my data set consest of 25500 letter image to 34 diffrent

letter each letter has 750 image stored in

one folder as training dataset k and 6800 letter image 200

for any letter as testing dataset

25500 training images 30x30pixel ,350 features

the input = 350 feature

classes = 34 ( the number of letters)

the classifeir is backpropagation neural network

load

d= data.X;

t=data.y’;

net=newff(minmax(data.X),[350,34],{’tansig’,’purelin’});

net.trainParam.show =600;

net.trainParam.lr = 0.05;

net.trainParam.epochs = 300;

%net = init(net);

%training

[net,tr]=train(net,data.X,data.y);

my problem

i want the 34 output node ( the number of classes )

but the matlab error message is ( the matrix must have 34 rows)

dataset , data.X= (350 25500)

labels target , data.y = ( 25500 1)

i want code with backpropagation using matlab

to classify this data set and test iT.