[R] RSNNS neural network
youtube_b at telus.net
Tue Mar 1 07:35:45 CET 2016
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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