Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!samsung!uakari.primate.wisc.edu!sdd.hp.com!elroy.jpl.nasa.gov!ncar!boulder!eesnyder From: eesnyder@boulder.Colorado.EDU (Eric E. Snyder) Newsgroups: comp.ai.neural-nets Subject: Networks on a chip (was: back-propagation) Message-ID: <29425@boulder.Colorado.EDU> Date: 8 Nov 90 15:57:26 GMT References: <39365@ut-emx.uucp> Sender: news@boulder.Colorado.EDU Reply-To: eesnyder@boulder.Colorado.EDU (Eric E. Snyder) Organization: University of Colorado, Boulder Lines: 22 Nntp-Posting-Host: beagle.colorado.edu This letter bounced... but it might be of general interest, so: In article <1990Nov06.152539.17957@undeed.uucp> you write: > >I am designing a reconfigurable neural-net chip which is arranged >as several layers, each containing a number of processing elements >( nodes ).... I am curious how complicated a net you can build from hardware on a single chip, how many nodes, how much connectivity? Just for background, I am a biologist and have been working on the application of neural nets for modeling structure-activity relationships. --------------------------------------------------------------------------- TTGATTGCTAAACACTGGGCGGCGAATCAGGGTTGGGATCTGAACAAAGACGGTCAGATTCAGTTCGTACTGCTG Eric E. Snyder Department of MCD Biology We are not suspicious enough University of Colorado, Boulder of words, and calamity strikes. Boulder, Colorado 80309-0347 LeuIleAlaLysHisTrpAlaAlaAsnGlnGlyTrpAspLeuAsnLysAspGlyGlnIleGlnPheValLeuLeu ---------------------------------------------------------------------------