Path: utzoo!utgpu!news-server.csri.toronto.edu!clyde.concordia.ca!uunet!cs.utexas.edu!yale!cmcl2!lanl!opus!ted From: ted@nmsu.edu (Ted Dunning) Newsgroups: comp.ai.neural-nets Subject: Re: What good are neural nets? Message-ID: Date: 22 Mar 90 23:41:53 GMT References: <1990Mar22.201531.8352@icase.edu> Sender: news@nmsu.edu Organization: NMSU Computer Science Lines: 29 In-reply-to: arras@icase.edu's message of 22 Mar 90 20:15:31 GMT In article <1990Mar22.201531.8352@icase.edu> arras@icase.edu (Michael Arras) writes: Here is your example: indeed. We have shown through computer simulations, that our ANN is better than conventional systems in correcting word errors during the decoding of block codes. note, some conventional systems. Our soft-decision ANN outperforms standard hard-decision decoding by two orders of magnitude (100) at a SNR of 7dB using a (15,5) Cyclic Redundany Code. outperforms? in price performance? or only in terms of accuracy? does the original method require specialized hardware, too? or is the specialized hardware only needed for high bit rates. have you tried other non-linear interpolation techniques? 'High Order Neural Models for Error Correcting Code', C. Jeffries, P. Protzel has been accepted at SPIE's 1990 Technical Symposim, Orlando, FL., which will be held April 16-20. are preprints available?