Learning algorithms of layered neural networks via extended Kalman filters

DOI10.1080/00207729108910654zbMath0725.68084OpenAlexW2092087457WikidataQ114944540 ScholiaQ114944540MaRDI QIDQ5203710

Keigo Watanabe, Toshio Fukuda, Spyros G. Tzafestas

Publication date: 1991

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729108910654

zbMATH Keywords

Kalman filterLearning algorithmslayered neural networkstime-varying learning rate

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Modified extended Kalman filtering for supervised learning ⋮ Dual adaptive control of nonlinear stochastic systems using neural networks ⋮ An improvement of a back propagation algorithm by the extended Kalman filter and demand forecasting by layered neural networks ⋮ Extended neuro-fuzzy models of multilayer perceptrons. ⋮ State estimation schemes for fault detection and diagnosis in dynamic systems ⋮ Unnamed Item

Cites Work

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