Publication | Closed Access
On the complex backpropagation algorithm
317
Citations
5
References
1992
Year
Intelligent Information ProcessingEngineeringMachine LearningNeural Networks (Machine Learning)Complex FormComplex Backpropagation AlgorithmComplex SignalsAi FoundationNeural Network StructureRecurrent Neural NetworkSocial SciencesApproximation TheoryAdaptive FilterComputational Learning TheoryComputer EngineeringComputer ScienceNeural Networks (Computational Neuroscience)Signal ProcessingNeuronal Network
A recursive algorithm for updating the coefficients of a neural network structure for complex signals is presented. Various complex activation functions are considered and a practical definition is proposed. The method, associated to a mean-square-error criterion, yields the complex form of the conventional backpropagation algorithm.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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