From: mailbox@dmitry-kazakov.de   
      
   On 15 Oct 2003 11:20:04 -0700, wsiler@aol.com (William Siler) wrote:   
      
   >Dmitry A. Kazakov  wrote in message    
   ews:...   
   >> On 5 Oct 2003 19:56:06 -0700, wsiler@aol.com (William Siler) wrote:   
   >>   
   >> >Actually, neural networks can provide a large number of functions,   
   >> >including (for example) classification. Thus for certain problems one   
   >> >can use either a neural net or a fuzzy expert system. They are, of   
   >> >course, quite different techniques.   
   >>   
   >> I would disagree. A fuzzy expert system could be built on the basis of   
   >> a neuronal network. I mean, as the knowledge carrier one could take a   
   >> network instead of a data base of rules. From this point of view a   
   >> valid comparison could be: rules data base vs. neuronal network. And   
   >> again the word "fuzzy" have slipped away! (:-))   
   >>   
   >Dmitry, it is not clear to me what you disagree with. Do you feel that   
   >a neural net cannot classify things? Or do you disagree that for some   
   >problems either  neural net or a fuzzy ex[ert system will work? Or am   
   >I off base entirely?   
      
   I would not set off NN against expert systems. Because it is   
   theoretically possible to build an expert system on the basis of a NN.   
   Consider "experts", which knowledge can be extracted in the form a   
   neuronal subnetwork. Then this knowledge, a description of a network,   
   is incorporated into a larger system using some standard framework.   
   That would be a NN-based expert system.   
      
   So I think that a valid opposition could be NN vs. a particular rules   
   data base [+ inference engine].   
      
   ---   
   Regards,   
   Dmitry Kazakov   
   www.dmitry-kazakov.de   
      
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