training 2 examples of neural networks

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

Answer 1

[Greg Heath]

NEWSGROUP SEARCHWORDS No. Hits

                                  xor                    441

                                  xor neural              25

                                  xor greg                20

                                  xor neural greg         14

ANSWERS

                                  xor                     67

                                  xor neural              11

                                  xor greg                10

                                  xor neural greg          9

Let us know if you have any specific questions.

Thank you for formally accepting my answer

Greg

Answer 2

[Antonio]

I'm sorry Greg I'm new on this thing, what you want me to do is look for mi problem in other places in this webpage? in deed I did, but I did not found anythin for what I looking for, sorry again man, I'll be reading de ways to use this

[Greg Heath]

Try

xor patternnet