http://www.programmersheaven.com/ Contains the latest posts from the thread 'Getting confused with Neurorule Algorithm' posted on the 'Algorithms' forum at Programmer's Heaven. en Copyright 2013 Programmers Heaven Wed, 19 Jun 2013 15:25:49 -0700 Wed, 19 Jun 2013 15:25:49 -0700 Argotic Syndication Framework 2007.3.0.1, http://www.codeplex.com/Argotic http://www.rssboard.org/rss-specification 360 http://www.programmersheaven.com/images/ph.gif http://www.programmersheaven.com/ 88 31 http://www.programmersheaven.com/mb/Algorithms/430203/430203/getting-confused-with-neurorule-algorithm/ I'm doing my assigment to extract rule using neurorule algorithm (basically neural network) which is explained in a journal entitled "NeuroRule: A Connectionist Approach to Data Mining".<br /> <br /> It has three major steps<br /> 1. Network training<br /> 2. Network Pruning<br /> 3. Rule extracting<br /> <br /> I'm still in the first step which is a kind of backpropagation. It is explained that, there are two activation function which is used. Log sigmoid and hyperbolic tangent sigmoid. I get mad with them. They produced a value that isn't really clear to be 0 or 1 so I search about activation function more and find that applying those needs derivative activation function.<br /> <br /> But inside the journal, there's no explaination about that. Should I add it or not? and is there any explicit impact if I add it?<br /> <br /> Please for the help.<br /> <br /> Thankyou. http://www.programmersheaven.com/mb/Algorithms/430203/430203/getting-confused-with-neurorule-algorithm/ Sun, 11 Nov 2012 02:07:03 -0700 Algorithms