Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!samsung!sol.ctr.columbia.edu!caen!uwm.edu!mrsvr.UUCP!rupen@gemed.ge.com From: rupen@gemed (Rupen Sheth x4-6587) Newsgroups: comp.ai.neural-nets Subject: Iris plant classification using backprop Message-ID: <3250@mrsvr.UUCP> Date: 12 Dec 90 19:05:45 GMT Sender: news@mrsvr.UUCP Reply-To: rupen@gemed.ge.com (Rupen Sheth x4-6587) Organization: GE Medical Systems, Milwaukee, WI Lines: 10 I am trying to solve the popular 'Iris Plant Classification' problem using standard backprop and a network configuration of 4-4-2 (input-hidden-output). I am using random biases on the hidden and the output layers. I would like to know what network configurations other people have used with backprop to solve this problem. A summary of the configurations and results would really help. Thank you. rupen@gemed.ge.com OR rupen@cvax.cs.uwm.edu