GeneRec
Encyclopedia
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).
Almeida-Pineda recurrent backpropagation
Almeida–Pineda recurrent backpropagation is an extension to the backpropagation algorithm that is applicable to recurrent neural networks. It is a type of supervised learning....
. It is used as part of the Leabra
Leabra
Leabra stands for "Local, Error-driven and Associative, Biologically Realistic Algorithm". It is a model of learning which is a balance between Hebbian and error-driven learning with other network-derived characteristics. This model is used to mathematically predict outcomes based on inputs and...
algorithm for error-driven learning
Error-driven learning
Error-driven learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to minimize some error feedback. It is a type of reinforcement learning....
.
The symmetric, midpoint version of GeneRec is equivalent to the contrastive Hebbian learning algorithm (CHL).
See also
- LeabraLeabraLeabra stands for "Local, Error-driven and Associative, Biologically Realistic Algorithm". It is a model of learning which is a balance between Hebbian and error-driven learning with other network-derived characteristics. This model is used to mathematically predict outcomes based on inputs and...
- O'Reilly (1996; Neural Computation)