Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sun-barr!lll-winken!elroy.jpl.nasa.gov!swrinde!zaphod.mps.ohio-state.edu!uwm.edu!ogicse!milton!yoda.eecs.wsu.edu!akempka From: akempka@eecs.wsu.edu (kempka anthony aaron - CS500) Newsgroups: comp.ai.neural-nets Subject: Monte Carlo usages in Training Message-ID: <1991Feb27.215703.3912@eecs.wsu.edu> Date: 27 Feb 91 21:57:03 GMT Reply-To: akempka@eecs.wsu.edu (kempka anthony aaron - CS500) Organization: Washington State University, Pullman Lines: 12 I'm trying to find some information in regards to using a Monte Carlo simulation to determine error minimization in training NN's. Is simulated annealing the only probabalistic technique? Any info on papers or experts will be greatly appreciated. Thanks in advance, Tony Kempka