Data set attached …
require ( RSNNS )
mydata = read.csv("mydata.csv",header = TRUE)
mydata.train = mydata[3000:10000,]
mydata.test = mydata[10005:10006,]
myfit <- 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, 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 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 <youtub...@telus.net> wrote:
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
learnFuncParams =c (0.1) , maxit =1000)
pred <-predict (fit , mydata.test[,2:10])
So pred contains the predictions .
The problem I am having is that when I run pred <-predict (fit ,
mydata.test[1,2:10]) repeatedly , it gives me different results each time .
Should not the weights and bias be set permanently in the network and give
the same result everytime ?
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03/03/16
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