Hello List ! I'm a bright new R user, and I encounter a problem when trying to use the neuralnet package. I have a training set with 8 inputs, and there are 3 outputs (I need 3 distinct neurones as output). Although I read the examples, and the package article, I don't know how to tell R there are 3 outputs (3 outputs neurones).
Here is my actual code : # All = input data All <- read.table('in.dat') colnames(All) <- paste('col',1:ncol(All),sep='') # Val = target values, matrix of n rows X 3 columns Val <- read.table('target.dat') # create dataframe dt <- data.frame(Val,All) nn <- neuralnet(Val ~ col1+col2+col3+col4+col5+col6+col7+col8,data=dt) Is there someone kind enough to correct my code ? Many many thanks in advance !! Luc ---------------------------------------------------------------- Dr. Luc Moulinier, Laboratoire de Biologie et Génomique Intégratives IGBMC 1, rue Laurent Fries 67 404 ILLKIRCH Cedex Phone : +33 (0)3 88 65 32 79 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.