An improved approach for nonlinear system identification using neural networks

DOI10.1016/S0016-0032(98)00049-0zbMath0979.93508OpenAlexW2054780303MaRDI QIDQ1307599

Naresh K. Sinha, Pramod Kumar Gupta

Publication date: 19 February 2002

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0016-0032(98)00049-0

Mathematics Subject Classification ID

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

Related Items (3)

Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle ⋮ Improved exponential stability analysis for delayed recurrent neural networks ⋮ On ``An improved approach for nonlinear system identification using neural networks.

Cites Work

• Non-linear system identification using neural networks
• Properties of neural networks with applications to modelling non-linear dynamical systems
• Dynamic system identification using neural networks
• Learning representations by back-propagating errors
• Approximation by superpositions of a sigmoidal function
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