Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!ucsd!ucbvax!pasteur!norton!crounse From: crounse@norton.uucp (Great Rumpuscat) Newsgroups: comp.ai.neural-nets Subject: Re: Networks for pattern recognition problems? Summary: Cellular Neural Networks Message-ID: <26527@pasteur.Berkeley.EDU> Date: 27 Jul 90 20:58:14 GMT References: <8462@ur-cc.UUCP> <5874@jhunix.HCF.JHU.EDU> <2809@mrsvr.UUCP> <5309@milton.u.washington.edu> Sender: news@pasteur.Berkeley.EDU Reply-To: crounse@norton.UUCP (Great Rumpuscat) Organization: University of California, Berkeley Lines: 19 For a Carver Mead type system described formally as a neural network, you might check out (the award winning) : "Cellular Neural Networks: Theory and Applications" Leon O. Chua and Lin Yang IEEE CAS vol35 no10 oct88 The paper (applications part) discusses several image processing techniques which are often used in recognition algorithms (like edge extraction). A Cellular Neural Network has a grid topology and only local connections which both suggest image processing as an application -- and also make for nice implementation on silicon. ,,,,,,,,,,,,,,,,,crounse@norton.berkeley.edu,,,,,,,,,,,,,,,,,,,,,,, Kenneth R. Crounse, - UC Berkeley King of - (Rally Behind the Ridiculous) Randomness and - Dept. of EECS Chaos - Nonlinear Electronics Laboratory