[R] RSNNS neural network for image classification in R

2016-03-14 Thread Valentin Pesendorfer
Hello everybody, I'm trying to harness the power of neural networks for image classification of big rasters using the `RSNNS` package in `R`. As for the data preparation and training of the model, everything works perfectly fine and the accuracies look quite promising. Subsequently, I'm try

Re: [R] RSNNS neural network

2016-03-03 Thread David Winsemius
> On Mar 3, 2016, at 12:33 PM, jake88 wrote: > > Data set attached … rename to mydata.csv . > > > > > > require ( RSNNS ) > mydata = read.csv("mydata.csv",header = TRUE) # Needed to change to mydata.txt > > mydata.train = mydata[3000:1,] > > mydata.test = mydata[10005:10006,] > > m

Re: [R] RSNNS neural network

2016-03-03 Thread David Winsemius
t;- elman ( mydata.train[,2:19],mydata.train[,1], size =100 , > learnFuncParams =c (0.1) , maxit =1000) > > pred <-predict (myfit , mydata.test[,2:19]) > > > > > > From: Charles Determan [mailto:cdeterma...@gmail.com] > Sent: Thursday, M

Re: [R] RSNNS neural network

2016-03-03 Thread jake88
;-predict (myfit , mydata.test[,2:19]) From: Charles Determan [mailto:cdeterma...@gmail.com] Sent: Thursday, March 03, 2016 6:31 AM To: jake88 Cc: r-help Subject: Re: [R] RSNNS neural network Unfortunately we can only provide so much help without a reproducible example. Can you us

Re: [R] RSNNS neural network

2016-03-03 Thread Charles Determan
Unfortunately we can only provide so much help without a reproducible example. Can you use a dataset that everyone would have access to to reproduce the problem? Otherwise it is difficult for anyone to help you. Regards, Charles On Tue, Mar 1, 2016 at 12:35 AM, jake88 wrote: > I am new to R a

[R] RSNNS neural network

2016-03-01 Thread jake88
I am new to R and neural networks . So I trained and predicted an elman network like so :  require ( RSNNS )  mydata = read.csv("mydata.csv",header = TRUE)  mydata.train = mydata[1000:2000,]  mydata.test = mydata[800:999,]  fit <- elman ( mydata.train[,2:10],mydata.train[,1], size =100       lear