Comparison of four gradient-learning algorithms for neural network Wiener models

DOI10.1080/0020772031000115542zbMath1098.93039OpenAlexW2092535535MaRDI QIDQ4827694

Andrzej Janczak

Publication date: 19 November 2004

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

Full work available at URL: https://doi.org/10.1080/0020772031000115542

zbMATH Keywords

learning algorithmssystem identificationneural networks

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) Stochastic learning and adaptive control (93E35)

Related Items (3)

Instrumental variables approach to identification of a class of MIMO Wiener systems ⋮ Identification of time-varying pH processes using sinusoidal signals ⋮ An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing

This page was built for publication: Comparison of four gradient-learning algorithms for neural network Wiener models