Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!elroy.jpl.nasa.gov!lll-winken!tristan!loren From: loren@tristan.llnl.gov (Loren Petrich) Newsgroups: comp.ai.neural-nets Subject: Favorite Benchmarks for Neural Nets, Anyone? Message-ID: <94511@lll-winken.LLNL.GOV> Date: 3 Apr 91 02:41:43 GMT Sender: usenet@lll-winken.LLNL.GOV Organization: Lawrence Livermore National Laboratory Lines: 25 Nntp-Posting-Host: tristan.llnl.gov Originator: loren@tristan This question has occasionally appeared in the NN literature, and I raise it here. What are the most suitable benchmarks for evaluating NN's? How might this be a function of the intended application(s)? What might be good criteria for selecting benchmarks? I have seen: The XOR problem The parity problem The encoder problem Any others? $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ Loren Petrich, the Master Blaster: loren@sunlight.llnl.gov Since this nodename is not widely known, you may have to try: loren%sunlight.llnl.gov@star.stanford.edu