search for: rsnns

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

I am trying to figure out the options for hiddenActFunc..any help would be great!! -- View this message in context: http://r.789695.n4.nabble.com/What-are-the-other-Options-for-hiddenActFunc-in-the-RSNNS-r-package-tp4693313.html Sent from the R help mailing list archive at Nabble.com.

Dear R users, I am writing binding from C library to R. I use R 2.4.1, windows XP, and MinGW. commands set PKG_CPPFLAGS="-I../sources" "-I." set PKG_LIBS="-Lc:/mingw/lib" -lfl -liberty set DEBUG=T R CMD SHLIB -d --output=Rsnns.dll [ list of all C sources] produce the DLL having all defined functions in the export list. This doesn't satisfy me, as I would like to hide most of defined functions and export only a couple of functions from the library and interface functions which I have written in order to call them fr...

...been replaced by .GlobalEnv when processing object ?p1? Warning: namespace ?plotly? is not available and has been replaced by .GlobalEnv when processing object ?p? Warning: namespace ?easyGgplot2? is not available and has been replaced by .GlobalEnv when processing object ?plot? Warning: namespace ?RSNNS? is not available and has been replaced by .GlobalEnv when processing object ?fit.mlp? Warning: namespace ?ipred? is not available and has been replaced by .GlobalEnv when processing object ?fit.treebag? [[alternative HTML version deleted]]

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 save the model with a...

Hi all, I am trying to develop a neural network with single target variable and 5 input variables to predict the importance of input variables using R. I used the packages nnet and RSNNS. But unfortunately I could not interpret the out put properly and the documentation of that packages also not giving proper direction. Please help me to find a good package with a proper documentation for neural network. Advance thanks s.sadanand -- View this message in context: http://r.789695.n...

...nv when processing object ?p1? > Warning: namespace ?plotly? is not available and has been replaced > by .GlobalEnv when processing object ?p? > Warning: namespace ?easyGgplot2? is not available and has been replaced > by .GlobalEnv when processing object ?plot? > Warning: namespace ?RSNNS? is not available and has been replaced > by .GlobalEnv when processing object ?fit.mlp? > Warning: namespace ?ipred? is not available and has been replaced > by .GlobalEnv when processing object ?fit.treebag? > > [[alternative HTML version deleted]] > > _______________...

...bject ?p1? >> Warning: namespace ?plotly? is not available and has been replaced >> by .GlobalEnv when processing object ?p? >> Warning: namespace ?easyGgplot2? is not available and has been replaced >> by .GlobalEnv when processing object ?plot? >> Warning: namespace ?RSNNS? is not available and has been replaced >> by .GlobalEnv when processing object ?fit.mlp? >> Warning: namespace ?ipred? is not available and has been replaced >> by .GlobalEnv when processing object ?fit.treebag? >> >> [[alternative HTML version deleted]] >&...

...t;,"rrf","frbs","extraTrees"," > ipred","elasticnet","bst","brnn","Boruta","arm","elmNN"," > evtree","extraTrees","deepnet","kknn","KRLS","RSNNS","partDSA","plsRglm"," > quantregForest","ranger","inTrees") > >> new.packages <- list.of.packages[!(list.of.packages %in% > >> installed.packages()[,"Package"])] > >> if(length(new.packages)) install....

...","frbs","extraTrees"," >> ipred","elasticnet","bst","brnn","Boruta","arm","elmNN"," >> >evtree","extraTrees","deepnet","kknn","KRLS","RSNNS","partDSA","plsRglm"," >> quantregForest","ranger","inTrees") >> >> new.packages <- list.of.packages[!(list.of.packages %in% >> >> installed.packages()[,"Package"])] >> >> if(length(new.pac...

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]]

...tor(x$V6) - 1) x_new <- cbind(V1Binario,V2Binario) x_new <- cbind(x_new,V3Binario) x_new <- cbind(x_new,V4Binario) x_new <- cbind(x_new,V5Binario) nam_ori <- colnames(x_new) col_nam <- paste("V", 1:ncol(x_new), sep = "") colnames(x_new) <- col_nam library(RSNNS) xValues <- x_new xTargets <- x[, 6] xTargetsDecoded <- decodeClassLabels(xTargets) x_nn <- splitForTrainingAndTest(xValues, xTargetsDecoded, ratio=0.15) set.seed(432) model <- mlp(x_nn$inputsTrain, x_nn$targetsTrain, size=3, learnFuncParams=c(0.1), maxit=10,...

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

...Network Message-ID: <1291981546611-3081800.post at n4.nabble.com> Content-Type: text/plain; charset=us-ascii Hi all, I am trying to develop a neural network with single target variable and 5 input variables to predict the importance of input variables using R. I used the packages nnet and RSNNS. But unfortunately I could not interpret the out put properly and the documentation of that packages also not giving proper direction. Please help me to find a good package with a proper documentation for neural network. Advance thanks s.sadanand -- View this message in context: http://r.789695.n...