Path: utzoo!utgpu!news-server.csri.toronto.edu!rutgers!ub.d.umn.edu!cs.umn.edu!mmm.serc.3m.com!news From: schultz@halley.est.3m.com (John C. Schultz) Newsgroups: comp.ai.neural-nets Subject: GENESIS 1.2ucsd Message-ID: Date: 14 Mar 91 04:39:25 GMT Sender: news@mmm.serc.3m.com Organization: 3M Company, 3M Center, Minnesota, USA Lines: 22 I am trying to use a C code representation of a back prop neural network as the evaluation function for a genetic algorithm optimization routine based on the GENESIS 1.2ucsd code. While the concept works quite well (after a little hacking at the interface), some optimized solution are values less than 0.0000. Physically the output variable being optimized is a thickness and thickness' less than 0.00 are meaningless, at least to me. I doubt that I can limit the neural network values (I assume that the GA has found some strange, untrained portion of the NN to exercise?) However, can I limit the output values of the GA to be positive? I would be quite happy to get a set of test points which results in a ouput variable near 0.00000 (but positive). Thanks for any suggestions. -- John C. Schultz EMAIL: schultz@halley.serc.3m.com 3M Company, Building 518-01-1 WRK: +1 (612) 733-4047 1865 Woodlane Drive, Dock 4, Woodbury, MN 55125 How to include the taste of Glendronach in a multi-media system?