Hammerstein model identification by multilayer feedforward neural networks

DOI10.1080/00207729708929362zbMath0875.93081OpenAlexW2011226869MaRDI QIDQ3124686

No author found.

Publication date: 9 November 1997

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

Full work available at URL: https://doi.org/10.1080/00207729708929362

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30)

Related Items (5)

Recursive identification of continuous-time Hammerstein systems ⋮ Identification and control of nonlinear system based on Laguerre-ELM Wiener model ⋮ Automated nonlinear system modelling with multiple neural networks ⋮ Identification of nonlinear system using extreme learning machine based Hammerstein model ⋮ Neural network approach for identification of Hammerstein systems

Cites Work

• On the design of nonlinear discrete-time predictors (Corresp.)
• Identification of discrete Hammerstein systems using kernel regression estimates
• An iterative method for the identification of nonlinear systems using a Uryson model
• Detectors for discrete-time signals in non-Gaussian noise

This page was built for publication: Hammerstein model identification by multilayer feedforward neural networks