similar to: Ayuda con Neuralnet

Estimados Tengo un problema, R se cuelga (cierra, aborta, etc.) al usar códigos de neuralnet. Copio un ejemplo cualquiera para preguntar si a otros les pasa lo mismo o es un problema puntual en mi computadora (uso R revolution win 10). # install, load package install.packages(NeuralNetTools) library(NeuralNetTools) # create model library(neuralnet) AND <- c(rep(0, 7), 1) OR <- c(0, rep(1,

I require some help in debugging this code  library(neuralnet) ir<-read.table(file="iris_data.txt",header=TRUE,row.names=NULL) ir1 <- data.frame(ir[1:100,2:6]) ir2 <- data.frame(ifelse(ir1$Species=="setosa",1,ifelse(ir1$Species=="versicolor",0,""))) colnames(ir2)<-("Output") ir3 <- data.frame(rbind(ir1[1:4],ir2))

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 <-

Muchas gracias Instale R desde CRAN y ejecutar version en R y R revolution, informa lo mismo, pero en el segundo neuralnet se cuelga, paso una captura de pantalla (Rstudio bajo r revolution también tiene problemas, no con R desde CRAN). Javier Rubén Marcuzzi Técnico en Industrias Lácteas Veterinario De: juan(uned) Enviado: martes, 3 de noviembre de 2015 12:48 Para: r-help-es en

Hi R, Here's a question/problem on the 'neuralnet' package for neural networks. I have more than 50 factors in each of my independent variables. When I apply the command 'neuralnet', I get the below warning message, > net.sum <- neuralnet( Sum~Var1+Var2+Var3, b, hidden=0,linear.output=TRUE) Warning message: 'predictions' will not be calculated, as at

Hola a todos, y gracias por leer mi mensaje: Llevo utilizando unos meses R, vengo de SPSS, y estoy muy sorprendido con su capacidad. Mi problema, es que estoy intentando hacer una comparación entre tres sistemas de predicción: una regresión logística, un árbol de clasificación y una red neuronal. De momento, he podido hacer las comparaciones con los dos primeros sistemas, pero mi problema es la

Dear all, the exclude and constant.weights options are used as follows: exclude: A matrix with n rows and 3 columns will exclude n weights. The the first column refers to the layer, the second column to the input neuron and the third column to the output neuron of the weight. constant.weights: A vector specifying the values of the weights that are excluded from the training process and treated

Hi, I am having difficulty in training a neural network using the package "neuralnet". My neural network has 2 input neurons (covariates), 1 hidden layer with 2 hidden neurons and 2 output neurons (responses). I am training my neural network with a dataset that has been transformed so that each column is of type "numeric". The difficulty I am facing is that the responses of

Dear all, I have a variable that I would like also to use it as a string. The reasons is that I want to collect results from different function to one table.. So when I use the  colnames(mymatrix) <-c(function1.function2,function3) the function1, function2, function3 to be "converted" to simple strings so as  colnames(mymatrix)

Hello I am new to R and wonder whether someone out there could send me an example on how to use the package neuralnet to fit a model to data, following the usual procedure, that is, fitting the model using the training set and then using the validation set to check the model. Moreover, the neural net model is recursive (uses its own output values)-> infinite steps ahead prediction. Many

Good Morning, I am using the neuralnet package in R, and am able to produce some basic neural nets, and use the output. I would like to exclude some of the weights and biases from the iteration process and fix their values. However I do not seem to be able to correctly define the exclude and constant.weights vectors. Question: Can someone point me to an example where exclude and

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

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

Estimados Hace un tiempo pregunte por un problema con neuralnet, hoy instale R desde https://mran.revolutionanalytics.com/ y el problema anterior fue solucionado por sus desarrolladores, pero me asombre por un cambio en la velocidad (no use un test con muchos datos como para ser objetivos pero la experiencia de usuario es fluida). Simplemente comparto el link por si a alguno le interesa usar

Hi, I am starting to play around with neural networks and noticed that there are several packages on the CRAN website for neural networks (AMORE, grnnR, neural, neuralnet, maybe more if I missed them). Are any of these packages more well-suited for newbies to neural networks? Are there any relative strengths / weaknesses to the different implementations? If anyone has any advice before I dive

Hola, Esta es una forma de hacerlo... Mira que lo primero que he modificado es el fichero "x.csv" para sustituir los espacios en los nombres por "_". Y también he quitado los acentos y las eñes... He utilizado el paquete RNNS y la función "mlp()" para ajustar la red. #------------------------------------------- > x <- read.csv("x.csv",

PLEASE REMOVE ME FROM THIS LIST SERVE IMMEDIATELY!!!!!! On Wed, Dec 12, 2012 at 6:41 PM, dada <paxkn@nottingham.ac.uk> wrote: > Hi > I would like to do neural netowrk analysis on my data. It look like this: > > drug param1 param2 param3 param4 param5 class > A 111 15 125 40 0.5 1 > B 347 13 280 55 3 2 >

Hi, I'm currently trying desperately to get the nnet function for training a neural network (with one hidden layer) to perform a regression task. So I run it like the following: trainednet <- nnet(x=traindata, y=trainresponse, size = 30, linout = TRUE, maxit=1000) (where x is a matrix and y a numerical vector consisting of the target values for one variable) To see whether the network

hi all , has anyone tried to predict a univariate time series by a neural networks packages ? please help me in this problem . I am new in R and I did not found any document that explains this problem. thanks in advance David [[alternative HTML version deleted]]

Hi all, I am working for my master's thesis and I need to do a neural network to forecast stock market price, with also external inputs like technical indicators. I would like to know which function and package of R are more suitable for this study. Thanks a lot for your response, Arnaud TREBAOL. -- Arnaud Trébaol T.I.M.E. Student Ecole Centrale de Lille (09) Politecnico di Milano (10)