Neural Network for Random Sequence Generation

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Guru
Guru on 24 Nov 2014
Commented: Thorsten on 26 Nov 2014
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 Comments
Thorsten
Thorsten on 24 Nov 2014
Edited: Thorsten on 24 Nov 2014
What is the format of your input and output? How many, and what values can each have?
Guru
Guru on 24 Nov 2014
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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Answers (1)

Thorsten
Thorsten on 24 Nov 2014
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))];
  2 Comments
Guru
Guru on 24 Nov 2014
Thanks for the reply. How can I specify the new_input to be used by first layer.

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