I want to create a neural network, and then everytime it receives new data,
instead of creating a new nnet, i want to use a backpropagation algorithm
to adjust the weights in the already created nn.
I'm using nnet package, I know that nn$wts gives the weights, but I cant
find out which weights belong to which conections so I could implement the
backpropagation algorithm myself.
But if anyone knows some function to do this, it would be even better.
In anycase, thank you!
Filipe Rocha
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