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Artificial Neural Networks
Recurrent Networks
Apply a to time series data.
Use output of network unites at time t as input to units at time t+1.
They need a new training algorithm. Several have been proposed.
A common method of training is to use a simple variation on backpropagation.
This method involves "unfolding" the network over time (as seen in (c)) and then using then applying backpropagation to the new network.
José M. Vidal
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