On function recovery by neural networks based on orthogonal expansions
From MaRDI portal
Publication:4377199
DOI10.1016/S0362-546X(97)00223-XzbMath0889.68128OpenAlexW2088646698MaRDI QIDQ4377199
Ewaryst Rafajłowicz, Mirosław Pawlak
Publication date: 3 March 1998
Published in: Nonlinear Analysis: Theory, Methods & Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0362-546x(97)00223-x
Related Items
Cites Work
- Networks and the best approximation property
- Projection-based approximation and a duality with kernel methods
- A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
- Approximation and estimation bounds for artificial neural networks
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- Generation and Use of Orthogonal Polynomials for Data-Fitting with a Digital Computer
- Approximation Theorems of Mathematical Statistics
- Nonparametric least squares estimation of a regression function
- Universal approximation bounds for superpositions of a sigmoidal function
- Efficient algorithm for a class of least squares estimation problems
- Non-parametric identification with errors in independent variables
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: On function recovery by neural networks based on orthogonal expansions