Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!ames!purdue!mentor.cc.purdue.edu!pur-ee!pc.ecn.purdue.edu!cb.ecn.purdue.edu!kavuri
From: kavuri@cb.ecn.purdue.edu (Surya N Kavuri )
Newsgroups: comp.ai.neural-nets
Subject: Re: ART and non-stationary environments
Keywords: ART
Message-ID: <904@cb.ecn.purdue.edu>
Date: 30 Apr 89 19:57:48 GMT
References: <2503@bucsb.UUCP> <18583@gatech.edu>
Organization: Purdue University Engineering Computer Network
Lines: 31

In article <18583@gatech.edu>, myke@gatech.edu (Myke Reynolds) writes:
> BAM is a the stationary version of ART, and blows backprop out of the
> water in both power and simplicity. Its less than a linear equation solver,
> but thats enough to out-preform backprop.
> Myke Reynolds

   I do not understand what you mean by "power" but if you look at the 
  memory capacity, BAM's look pathetic.  
   I do not speak for BP, but I heard some explanations that the 
   hidden layers serve as feature detectors (4-2-4 decoder) which 
   shows a likeness(intuitive) to pattern classification methods.


                                             Surya Kavuri
                                             (FIAT LUX)

  P.S:  What I dispise in relation to BP is the apparent tendencies 
        that people have in romanticizing it.  (I should say that the 
        problem is not with BP but with its researchers).  I have 
        seen sinful explanations to what the hidden units stand for.  
        I have seen claims that they stand for concepts that could 
        be given physical meanings (sic!).  These are baseless 
        dreams that people come with.  This is a disgrace to the 
        serious scientific community as it indicates a degeneration.
        
   BP is not even Steepest gradient approach, strictly speaking.  
   It does minimization of an error measure.          

   (1) There are no measures of its convergence time.