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 was described somewhat cryptically in
Richard Feynman's senior thesis, and rediscovered independently in the context of artificial neural networks by both
Fernando Pineda
Fernando is a Spanish and Portuguese given name and a surname common in Spain, Portugal, Italy, France, Switzerland, former Spanish or Portuguese colonies in Latin America, Africa, the Philippines, India, and Sri Lanka. It is equivalent to the G ...
and
Luis B. Almeida.
A recurrent neural network for this algorithm consists of some input units, some output units and eventually some hidden units.
For a given set of (input, target) states, the network is trained to settle into a stable activation state with the output units in the target state, based on a given input state clamped on the input units.
References
Machine learning algorithms
Neuroscience
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