A note on error bounds for function approximation using nonlinear networks

DOI10.1007/BF01201501zbMath0962.93042MaRDI QIDQ1272630

Ajit T. Dingankar, Sandberg, Irwin W.

Publication date: 18 June 2001

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

zbMATH Keywords

neural networksapproximation networkapproximation of nonlinear functions

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Approximation by other special function classes (41A30)

Cites Work

• A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
• Approximation by superposition of sigmoidal and radial basis functions
• A note on error bounds for approximation in inner product spaces
• Approximations for nonlinear functions
• Universal approximation bounds for superpositions of a sigmoidal function
• Approximation by superpositions of a sigmoidal function

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