A method for training a recurrent network represented by x(k+1)=f(W x(k)), where W is a weight matrix, x is the output of the network, and K is a time index includes (a) determining the weight matrix at a first time increment, (b) incrementing the time increment associated with a received data point, and (c) determining a change in the weight matrix at the incremented time interval according to the formula: ##EQU1##

 
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