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Unified formulation for training recurrent networks with derivative adaptive critics

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3 Author(s)
Feldkamp, L.A. ; Ford Res. Lab., Dearborn, MI, USA ; Puskorius, G.V. ; Prokhorov, D.V.

We present a procedure for obtaining the derivatives used in training a recurrent network that combines in a unified framework the techniques of backpropagation through time and derivative adaptive critics. The resulting formulation is consistent with previous descriptions, but has the advantage of allowing the mentioned techniques to be used together in a proportion that is appropriate to a given problem

Published in:

Neural Networks,1997., International Conference on  (Volume:4 )

Date of Conference:

9-12 Jun 1997