On-line RBFNN based identification of rapidly time-varying nonlinear systems with optimal structure-adaptation.

DOI10.1016/S0378-4754(02)00159-3zbMath1038.68091OpenAlexW1968302215MaRDI QIDQ1874206

Giorgos Apostolikas, Spyros G. Tzafestas

Publication date: 22 May 2003

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4754(02)00159-3

zbMATH Keywords

Radial basis function networksAdaptive systems modelingsystem trackingTime-varying

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Identification of MIMO systems using radial basis function networks with hybrid learning algorithm

Cites Work

• Unnamed Item
• On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size
• Computational intelligence in systems and control design and applications
• Identification of time-varying nonlinear systems using minimal radial basis function neural networks
• Self-tuning multivariable fuzzy and neural control using genetic algorithms

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