hello and thanks for any reply; my problem is this, I have to train a neural networks whit the next characteristics 1.- 2 input 2 output whit 2 layer (1 hidden) the first block is full conected and the hidden layer too whit the input block I have to create an back propagation alghorithm that calculates every wheigt in the nn for this inpattern=[0 0 1 1;0 1 0 1] targets=[0 0 1 0;0 1 0 0] I have found many examples of back propagation alghoritms applied for XOR problems but I don't know how to use that code to make a solution of my problem, hope anyone can help me
MATLAB: Training 2 examples of neural networks
Deep Learning Toolboxneural network
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