Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!zaphod.mps.ohio-state.edu!ncar!boulder!fozzard From: fozzard@boulder.Colorado.EDU (Richard Fozzard) Newsgroups: comp.ai.neural-nets Subject: Networks for pattern recognition problems? Message-ID: <23586@boulder.Colorado.EDU> Date: 17 Jul 90 18:16:23 GMT Sender: news@boulder.Colorado.EDU Reply-To: fozzard@boulder.Colorado.EDU (Richard Fozzard) Organization: University of Colorado, Boulder Lines: 19 Do you know of any references to work done using connectionist (neural) networks for pattern recognition problems? I particularly am interested in problems where the network was shown to outperform traditional algorithms. I am working on a presentation to NOAA (National Oceanic and Atmospheric Admin.) management that partially involves pattern recognition and am trying to argue against the statement: "...results thus far [w/ networks] have not been notably more impressive than with more traditional pattern recognition techniques". I have always felt that pattern recognition is one of the strengths of connectionist network approaches over other techniques and would like some references to back this up. thanks much, rich ======================================================================== Richard Fozzard "Serendipity empowers" Univ of Colorado/CIRES/NOAA R/E/FS 325 Broadway, Boulder, CO 80303 fozzard@boulder.colorado.edu (303)497-6011 or 444-3168