Please read the documentation: why is a logistic output equation appropriate for example. The iris3 example does not use the same arguments as you have, so you are claiming to know what you are doiung here.
You *have* worked though the examples in the book this software supports, haven't you? On Mon, 26 Apr 2004, Erik Johnson wrote: > I am using R 1.8.0, and am attempting to fit a Neural Network model of a > time series (here called Metrics.data). It consists of one time series > variable run on its lag (AR(1)). Basically, in an OLS model it would > look like > Metrics.data$ewindx ~ Metrics.data$ewindx.lag1 > However, I am trying to run this through a neural network estimation. > So far, I have been getting convergence very quickly, and do not believe > it too be true. > Here is the code and output. Please note that I am using all of the > values for training and testing in one matrix, as I do not care about > the testing results right now, I only want to capture weights. Here is > the code and output > > > nnet(metrics.data$ewindxlag1,metrics.data$ewindx,size=2, entropy=FALSE) > # weights: 7 > initial value 78858370643.085342 > final value 78841786515.212158 > converged > a 1-2-1 network with 7 weights > options were - > > When I run the iris3 example, the convergence looks much nicer > (consisting of more than one iteration). Am I missing some fundamental > understanding of this example? Thanks for any input. > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
