A VECTOR MATRIX REAL TIME RECURSIVE BACKPROPAGATION ALGORITHM FOR RECURRENT NEURAL NETWORKS THAT APPROXIMATE MULTI-VALUED PERIODIC FUNCTIONS

DOI10.1142/S1469026809002667zbMath1185.68574MaRDI QIDQ3401065

Peter A. Stubberud

Publication date: 28 January 2010

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

zbMATH Keywords

hysteresisrecurrent neural networksystem approximationglobally recurrent neural networkmulti-valued periodic functionsreal time recursive backpropagation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Application of adjoint operators to neural learning
• Multilayer feedforward networks are universal approximators

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