Neural Network for Random Sequence Generation

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Guru
Guru 2014-11-24
评论： Thorsten 2014-11-26
Hi,
I have designed a custom neural network for random sequence generation. I have my custom transfer function and I want to update the transfer function parameters on each cycle using a neurons own transformed output. Also since I'm not training the network with a data set, I want the outputs of the output layer to be xored and fed back as input to input layer neurons for next operation cycle. Please suggest how I can achieve these functions
  2 个评论
Thorsten
Thorsten 2014-11-24
编辑：Thorsten 2014-11-24
What is the format of your input and output? How many, and what values can each have?
Guru
Guru 2014-11-24
Hi,
Thanks for the reply. Right now I plan to have two inputs, 2 hidden layers with 6 neurons each and four outputs. For each input I'm planning to give as a 1-by-1 matrix with value inthe range of 0-1. The output also should be a 1-by-1 matrix in the range 0-1.

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Thorsten
Thorsten 2014-11-24
One way to do it would be to xor output 1 and 2 to get input 1, and output 3 and 4 to get input 2:
output = [ 1 0 1 1]; % sample output
new_input = [ xor(output(1), output(2)) xor(output(3), output(4))];

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