GeneRec is a generalization of the recirculation algorithm, and approximates Almeida–Pineda recurrent backpropagation. It is used as part of the Leabra algorithm for error-driven learning. The symmetric, midpoint version of GeneRec is equivalent to the contrastive Hebbian learning algorithm (CHL).
See also Leabra O'Reilly (1996; Neural Computation)
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