Path: utzoo!utgpu!news-server.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!ucsd!ucsdhub!hp-sdd!ncr-sd!se-sd!jim From: jim@se-sd.NCR.COM (Jim Ruehlin) Newsgroups: comp.ai.neural-nets Subject: Re: Meta-Nets Message-ID: <2519@se-sd.NCR.COM> Date: 21 Mar 90 17:11:10 GMT References: <4670@cbnewsl.ATT.COM> Reply-To: jim@se-sd.SanDiego.NCR.COM (Jim Ruehlin) Organization: NCR Corporation, SE-San Diego Lines: 12 Summary: Expires: Sender: Followup-To: Keywords: In article <4670@cbnewsl.ATT.COM> apr@cbnewsl.ATT.COM (anthony.p.russo) writes: >I tend to think that the meta net, at best, would learn to >implement the standard algorithm. That is, we are training it to >learn some known algoithm. If this is the case, why not just use >the standard alg and skip the meta net? As I remember from my NN classes, the exciting thing about them is that they begin to generalize (if designed and trained properly). Hopefully, the meta-net would generalize learning heuristics based on the standard algorithm it was taught. - Jim Ruehlin