[R] Neural Network models

I apologize for writing my question in Spanish. I thought that I was writing my question to the Spanish list. Agust�n Alonso --- Este correo electr�nico ha sido comprobado en busca de virus por AVG. http://www.avg.com [[alternative HTML version deleted]]

[R] neural network, random forest with survey data

Hi, everyone: Does anyone know if any statistical packages (such as R) can accommodate neural network or random forest with survey data? With survey data, we have to incorporate weight with sampling issue or even with design effect. Would appreciate if anyone can help. Grace

Re: [R] Neural Network

algeas. So I think they are dependent variables. Regards. On Thu, 1/22/15, Charles Determan Jr deter...@umn.edu wrote: Subject: Re: [R] Neural Network To: javad bayat jbaya...@yahoo.com, r-help@r-project.org r-help@r-project.org Date: Thursday

Re: [R] Neural Network

variables. Regards. On Thu, 1/22/15, Charles Determan Jr deter...@umn.edu wrote: Subject: Re: [R] Neural Network roject.org Date: Thursday, January 22, 2015, 4:41 PM Javad, First, please make sure to hit 'reply all' so that these messages go

Re: [R] Neural Network

) Is it possible to predict the Eutro. by these variables? Many thanks for your help. Regards, On Thu, 1/22/15, Charles Determan Jr deter...@umn.edu wrote: Subject: Re: [R] Neural Network roject.org Date: Thursday, January 22, 2015, 4:41 PM Javad

Re: [R] Neural Network

? Many thanks for your help. Regards, On Wed, 1/21/15, Charles Determan Jr deter...@umn.edu wrote: Subject: Re: [R] Neural Network To: javad bayat jbaya...@yahoo.com Cc: r-help@r-project.org r-help@r-project.org Date: Wednesday

Re: [R] Neural Network

Javad, You question is a little too broad to be answered definitively. Also, this is not a code writing service. You should make a meaningful attempt and we are here to help when you get stuck. 1. If you want to know if you can do neural nets, the answer is yes. The three packages most

[R] Neural Network

Dear all; I am the new user of R. I want to simulation or prediction the Eutrophication of a lake. I have weekly data(almost for two years) for Total phosphorus, Total N, pH, Chlorophyll a, Alkalinity, Silica. Can I predict the Eutrophication by Neural Network in R? How can I simulation the

[R] neural network in R

 Hello everybody   I try to fit a neural network on my data by using package 'neuralnet' or 'nnet'. I did it several times but I got an unexpected answer,   this is my code (num.obs=100): ( library('nnet') y-data.frame(data$CU) (y is cu concentration)

[R] Neural Network Problem

Hello Professionals, I am new to R and am planning to use R for a Artificial Neural Network regression. I have 10 different scenarios for each observation (Input). For each scenario, there are 7 variables, which means 7 output. I have 1000 observations in total and I do have 1000 expected

[R] Neural network: Amore adaptative vs batch why the results are so different?

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

Re: [R] Neural Network

2010/7/18 Arnaud Trébaol arnaud.treb...@mail.polimi.it: 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

[R] Neural Network

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

Re: [R] Neural Network

I'd start with the nnet library type: ?nnet CS - Corey Sparks, PhD Assistant Professor Department of Demography and Organization Studies University of Texas at San Antonio 501 West Durango Blvd Monterey Building 2.270C San Antonio, TX 78207 210-458-3166 corey.sparks 'at' utsa.edu

[R] Neural Network package AMORE and a weight decay

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

[R] Neural Network

Hi, We are trying to implement a early stopping rule with validation set on a neural network. We’re using the AMORE package (http://rwiki.sciviews.org/doku.php?id=packages:cran:amore) of R and when you train the network you have to specify following variables: Pval Tval What do we have to put

[R] neural network arguments

hi everyone! my inquiry with neural network is rather basic. i am just learning neural network, particularly the VR bundle. i read the documentations for the said bundle but still is struggling on understanding some arguments - x is the matrix or data frame of x values for example does this

Re: [R] Neural Network resource

The package AMORE appears to be more flexible, but I got very poor results using it when I tried to improve the predictive accuracy of a regression model. I don't understand all the options well enough to be able to fine tune it to get better predictions. However, using the nnet() function in

[R] Neural Network resource

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,

Re: [R] Neural Network resource

There's a link on the CRAN page for the AMORE package which apears to have some cool information: http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:amore Seems like an interesting package, I hadn't actually heard of it before your post. HTH, Tony On 27 May, 09:13, Indrajit Sengupta

Re: [R] Neural Network resource

understanding of the Neural Network was wrong. Have you ever faced anything like it? Regards, Indrajit From: markle...@verizon.net markle...@verizon.net Sent: Wednesday, May 27, 2009 7:54:59 PM Subject: Re: [R] Neural Network resource Hi: I've never used

Re: [R] Neural Network resource

I fed this data into a Neural network (3 hidden layers with 6 neurons in each layer) and trained the network. When I passed the input dataset and tried to get the predictions, all the predicted values were identical! This confused me a bit and was wondering whether my understanding of the

Re: [R] Neural Network resource

Subject: Re: [R] Neural Network resource I fed this data into a Neural network (3 hidden layers with 6 neurons in each layer) and trained the network. When I passed the input dataset and tried to get the predictions, all the predicted values were identical! This confused me a bit

Re: [R] Neural Network resource

From: markle...@verizon.net markle...@verizon.net Sent: Wednesday, May 27, 2009 7:54:59 PM Subject: Re: [R] Neural Network resource Hi: I've never used that package but most likely there is a  AMORE vignette that shows examples and describes the functions. it should

[R] neural network not using all observations

I am exploring neural networks (adding non-linearities) to see if I can get more predictive power than a linear regression model I built. I am using the function nnet and following the example of Venables and Ripley, in Modern Applied Statistics with S, on pages 246 to 249. I have standardized