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Hello All! I am training to train a NN with function train() after splitting data with the function splitForTrainingAndTest(). The split is ok (checked it), but when I get a try on training I get this message: Error in UseMethod("train") : no applicable method for 'train' applied to an object of class "c('double', 'numeric')" The input data are

Hi I would like to know how I can change the name of a model for each trainning cycle of a model. I work with the RSNNS package and to build a neural network, I used : for (i in 5:30) .... model_ANN <- mlp(X, Y, size=n,....) # where size is the number of neurons in the hidden layer but I need to save each time that the model that is build (the end of each cycle), e.g., when i = 5, I need to

...e("V", 1:ncol(x_new), sep = "") colnames(x_new) <- col_nam library(RSNNS) xValues <- x_new xTargets <- x[, 6] xTargetsDecoded <- decodeClassLabels(xTargets) x_nn <- splitForTrainingAndTest(xValues, xTargetsDecoded, ratio=0.15) set.seed(432) model <- mlp(x_nn$inputsTrain, x_nn$targetsTrain, size=3, learnFuncParams=c(0.1), maxit=10, inputsTest=x_nn$inputsTest, targetsTest=x_nn$targetsTest) summary(model) #------------------------------------------- Saludos, Carlos Ortega www.qualityexcellence.es El 9 de julio de 2016, 21:58, Javier Ma...

Estimados Les consulto por redes neuronales, hay diversos artículos como los siguientes (el último tienen un error actualmente). Pero mi pregunta va un poco por otro lado. http://www.r-bloggers.com/build-your-own-neural-network-classifier-in-r/ http://www.r-bloggers.com/classification-using-neural-net-in-r/ Básicamente se puede calcular un valor, por ejemplo doblar 2,4 grados a la derecha, luego 1