Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty

DOI10.1016/j.neunet.2012.04.013zbMath1258.68124OpenAlexW2077724939WikidataQ51364473 ScholiaQ51364473MaRDI QIDQ1941594

Wei Wu, Jacek M. Zurada, Ji'an Wang

Publication date: 13 March 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2012.04.013

zbMATH Keywords

convergencebackpropagationcyclicweight decayalmost cyclic

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items

Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network, Boundedness and convergence analysis of weight elimination for cyclic training of neural networks

Cites Work

• Convergence analysis of online gradient method for BP neural networks
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item