search for: neurones

Hi, Been using Dovecot for a few weeks now, must say it's very good.. I've been looking for a 'drop in' replacement for UWImap for ages! :) but just recently It's been giving me a few problem, I haven't tracked down exactly what causes the problem yet (I'm using Apple Mail on OS X 10.2.6) but after a good mail session it keep trying to log in over and over again..

Dear Colleagues, I would like to provide a CITATION file for my package nat.nblast [1]. I have the correct citation in BibTeX format [2]. How can I convert this BibTeX to the format needed by R for a package CITATION file (I have a lot of other packages needing citations ...). I think what I need is the opposite of RefManageR::toBiblatex [3]. This seems like it should be a common need, so I

On Thu, 30 May 2019, Dr Gregory Jefferis wrote: > Dear Colleagues, > > I would like to provide a CITATION file for my package nat.nblast [1]. > > I have the correct citation in BibTeX format [2]. How can I convert this > BibTeX to the format needed by R for a package CITATION file (I have a > lot of other packages needing citations ...). (1) You can use read.bib() from the

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

Hola, Bienvenido a R... Creo que puedes avanzar mucho más rápido con tus modelos y al tiempo aprender cómo se hace todo lo quieres ver en R si utilizas el paquete "rattle". Es un paquete con un GUI muy sencillo de usar y que permite modelizar tus datos con múltiples algoritmos. Además de curvas ROC te ofrecerá otros gráficos para comprobar la bondad del ajuste, además de que podrás ver

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 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

Buenas, He estado leyendo publicaciones sobre las redes neuronales ( y el deep learning) pero no consigo entender el tipo de operaciones que se hacen en cada una de las capas de las redes neuronales. Necesito alguna explicacion más para tontos. ¿Alguien entiende bien lo que hace una red neuronal? Por ejemplo, un randomForest hace el ensamble por boostrap de árbole sde clasificación. Un SVM crea

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

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

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

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

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.

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

A recent paper on visualisation (in Neuron, a leading neuroscience journal) surveyed how well previous articles in this journal labelled their graphs (e.g. axis labelling and describing their error bars). Of particular interest is that (only) 40% of plots labelled what their colorkey was showing (variable and units). The paper is at http://dx.doi.org/10.1016/j.neuron.2012.05.001 R is not yet

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",

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

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 <- read.table('in.dat') colnames(All) <- paste('col',1:ncol(All),sep='') # Val...

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