R help - May 2010 - help in neural networks package

hi all ,
has anyone tried to predict a univariate time series by  a neural networks
packages ? please help me in this problem . I am new in R and I did not
found any document that explains this problem.

thanks in advance

David

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I am also looking for a sample to predict values for a simple 1d time series.
I did look at various library-samples as in
neuralnet,AMORE,nnet,RSNNS,Qrnn,monmlp e.t.c. 
but did not find a simple 1d-sample that forecasts like in the following
simple arima-sample:

library(TSA)
x = arima.sim(list(order=c(1,0,1), ar=.9, ma=-.5), n=100) # simulate some
data
x.fit = arima(x, order = c(1, 0, 1)) # fit the model and print the results
x.fore=predict(x.fit, n.ahead=10)  
# plot the forecasts
U = x.fore$pred + 2*x.fore$se
L = x.fore$pred - 2*x.fore$se
minx=min(x,L)
maxx=max(x,U)
ts.plot(x,x.fore$pred,col=1:2, ylim=c(minx,maxx))
lines(U, col="blue", lty="dashed")
lines(L, col="blue", lty="dashed") 

Did you meanwhile find a working sample or can anyone show a nn-sample here
to predict
the arima.sim series x from above sample with ploting the next 10 forecasted
values ?


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