Hi everybody, first, I'm not high skilled about R, so please: be understandable!!
I would like to create an artificial neural network with R but I don't know its parameters jet (number of layers, number of neurons,...). I downloaded the package ANN and I use the function "ANNGA", but I'm afraid I haven't really created a neural network. In fact, at the end of the process I have just this output: Call: ANNGA.default(x = input, y = output, design = c(1, 3, 1), population = 100, mutation = 0.2, crossover = 0.6, maxW = 10, minW = -10, maxGen = 1000, error = 0.001) **************************************************************************** Mean Squared Error------------------------------> 0.01148523 R2----------------------------------------------> 0.6918387 Number of generation----------------------------> 1001 Weight range at initialization------------------> [ 10 , -10 ] Weight range resulted from the optimisation-----> [ 13.58698 , -12.93606 ] **************************************************************************** Well, I would like to know if there is in ANN a function to *create* a neural network and if not, which package I have to download, Nnet? Thanks in advance! Giulia Di Lauro. [[alternative HTML version deleted]] ______________________________________________ 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.