Do you have any special learning algorithm for binary inputs?
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I am using neural network tool box to prove a concept. I like to use binary inputs for my learning. Do we have any special learning algorithm available for binary inputs? (OR how should I modify this call (change any arguments for BI inputs?);
newff(xll',y_learn,[20],{'tansig','tansig'},'trainbfg','learngdm','msereg');
to fit a binary inputs)
I m using as follows:
NETff = newff(xll',y_learn,[20],{'tansig','tansig'},'trainbfg','learngdm','msereg');
NETff.trainParam.epochs = 100000;
NETff.trainParam.goal = 0.00001;
NETff= train(NETff,xll',y_learn);
Yff = sim(NETff,xll');
Where xll’ is a binary number, eg: 1010101010
Thanks.
Jude
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Accepted Answer
Greg Heath
on 17 Jan 2013
Edited: Walter Roberson
on 18 Jan 2013
I have given a graciously lengthy answer to your questions in your Newsgroup Thread
Subject: Neural Network with Binary Inputs
From: Jude
Date: 16 Jan, 2013 19:40:09
Hope this helps.
Thank you for graciously accepting my answer.
Greg
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