Xref: utzoo comp.ai:8435 misc.wanted:13032 Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!samsung!think.com!linus!linus!news From: jsims@mwunix.mitre.org (James Sims) Newsgroups: comp.ai,misc.wanted Subject: Learning Techniques comparision wanted Message-ID: <1991Jan23.153317.24640@linus.mitre.org> Date: 23 Jan 91 15:33:17 GMT Sender: news@linus.mitre.org (Linus's News) Organization: Mitre Corporation, McLean, VA Lines: 11 Nntp-Posting-Host: mwunix.mitre.org Can someone point me to a (hopefully) existing comparision between various learning techniques - GA, Neural Nets, Adaptive Control Theory, learning in rulebases, etc in the literature? If not, are there survey references that describe the strengths/weaknesses of each of these approaches individually? reply by email to sims@starbase.mitre.org, I'll summarize to the net. thanks in advance, jim