similar to: a question about AMORE (newff, sim), pls help

I am using the iris example came with nnet package to test AMORE. I can see the outcomes are similar to nnet with adaptative gradient descent. However, when I changed the method in the newff to the batch gradient descent, even by setting the epoch numbers very large, I still found all the iris expected class=2 being classified as class=3. In addition, all those records in the outcomes (y) are the

Is there any function in AMORE switching output into logistical or linear one, like linout=TRUE in nnet. Please give me some help, thanks. -- View this message in context: http://r.789695.n4.nabble.com/Logistical-or-Linear-Output-in-AMORE-tp4302187p4302187.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]

Hi, I want to use the neural network package AMORE and I don't find in the documentation the weight decay option. Could someone tell if it is possible to add a regularization parameter (also known as a weight decay) to the training method. Is it possible to alter the gradient descent rule for that? Thanks, Ron

Installing the package AMORE, in the software R, where I will be able to obtain the folder of the source coding, in way the add code in the function deltaE. Nuno Vale [[alternative HTML version deleted]]

Hi All, I am trying to learn Neural Networks. I found that R has packages which can help build Neural Nets - the popular one being AMORE package. Is there any book / resource available which guides us in this subject using the AMORE package? Any help will be much appreciated. Thanks, Indrajit

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

Hello, First of all I am french, so please forgive me, if there are some big language mistakes in my sentences. I think, it is the good mail address to send my question, if not please tell me and forgive me. I am working on a project, and I use the nnet library. Our customers do not want us to install R on their machine, so we just use R for making the training of our neurons network. This

Hello, First of all I am french, so please forgive me, if there are some big language mistakes in my sentences. I do not know if it is the good mail address to send my question, if not please tell me and forgive me, I have also sent this quetion to r-help, because the answer could be known from the programmers and the other R users :). I am working on a project, and I use the nnet library.

Hi, I am trying to build a VERY basic neural network as a practice before hopefully increasing my scope. To do so, I have been using package "neural" and the MLP related functions (mlp and mlptrain) within that package. So far, I have created a basic network, but I have been unable to change the default activation function. If someone has a suggestion, please advise. The goal of the

Hello everybody, I am afraid this might be a stupid question, but after scanning a little bit through the help archive and the internet, I didn't come up with an answer myself. I have done a principle component analysis on a data set, which yields the mean response of 14 olfactory neurons to 16 different odors. When plotting the result in a biplot, it nicely shows me the odors in

Dear List Members, I'm presently carrying out morphological analysis of a data set of neuronal structures. These are essentially 3D binary trees. In due course I will be trying to use discriminant analysis or other methods to classify these neurons based on morphological variables such as total tree length, segment number etc. I would like to calculate a 3D convex hull for a set of X,Y,Z

Hi all, I've uploaded STAR (Spike Train Analysis with R) on CRAN two days ago. The package is designed to analyze neuronal spike (action potential) trains. It uses S3 classes and methods and makes heavy use of other CRAN packages like gss, R2HTML, mgcv, survival. * Analysis of both spontaneous and stimulus evoked activity is implemented for single neuron spike trains as well as for many

Hi all, I've uploaded STAR (Spike Train Analysis with R) on CRAN two days ago. The package is designed to analyze neuronal spike (action potential) trains. It uses S3 classes and methods and makes heavy use of other CRAN packages like gss, R2HTML, mgcv, survival. * Analysis of both spontaneous and stimulus evoked activity is implemented for single neuron spike trains as well as for many

Hello, I'm a neurophysiologist, and actually quite new to R. In fact, to analyse the responses of my neurons, I would like to have R doing an non-orthogonal ANOVA with a type III sum of squares. Could anybody help me? Thank you a lot in advance. Francois -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear R users, I have been playing with the nnet and predict.nnet functions and have two questions. 1) Is it possible to specify a validation set as well as a training set in the nnet function before using predict.nnet to test the nnet object against new data? 2) Is it possible to specify more than one layer of neurons? Thanks in advance Matt Oliver

Hi guys, my goal is to create a reliable virtualization environment using CentOS 6.4 and KVM, I've three nodes and a clustered GFS2. The enviroment is up and working, but I'm worry for the reliability, if I turn the network interface down on one node to simulate a crash (for example on the node "node6.blade"): 1) GFS2 hangs (processes go in D state) until node6.blade get

Hi, Debian Project News drew my attention to an RFH http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=698378 for a crash in libvorbisidec (tremor) on ARM systems. I have been in contact with Daniel Kahn Gillmor proposing to try to help solve this crash on armel. Unfortunately Daniel hasn't been able to reproduce it recently. Can anyone shed any light on this crash or on how to reproduce

Hi * i'm trying to do my statistical analysis with R (on a debianGNULinux) i've installed R and now i'll try to import my data from .xls Where to search for non parametric test in R ? I'm studing neurons velocity and i've to check if after the perfusion with a factor x the velocity changes but as my variable is not normally ditributed i've to try with non parametric

Hi folks, I want to apply a neural network to a data set to classify the observations in the different classes from a concrete response variable. The idea is to prove different models from network modifying the number of neurons of the hidden layer to control overfitting. But, to select the best model how I can choose the relevant variables? How I can eliminate those that are not significant for

I want to classify bipolar neurons in human cochleas and have data of the following structure: Vol_Nuc Vol_Soma 1 186.23 731.96 2 204.58 4370.96 3 539.98 7344.86 4 477.71 6939.28 5 421.22 5588.53 6 276.61 1017.05 7 392.28 6392.32 8 424.43 6190.13 9 256.41 3850.51 10 249.17 3118.14 11 276.97 3037.29 12 295.30 3703.76 13 314.43 5265.97 14 301.15 5781.73 I