On the error of approximation by RBF neural networks with two hidden nodes
From MaRDI portal
Publication:6559089
DOI10.30546/2409-4994.2024.50.1.152MaRDI QIDQ6559089
Aida Kh. Asgarova, Ibrahim K. Maharov
Publication date: 21 June 2024
Published in: Proceedings of Institute of Mathematics and Mechanics. National Academy of Sciences of Azerbaijan (Search for Journal in Brave)
Neural networks for/in biological studies, artificial life and related topics (92B20) Multidimensional problems (41A63) Approximation by other special function classes (41A30)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Interpolation on lines by ridge functions
- Approximation by a sum of two algebras. The lightning bolt principle
- Reinforcement radial basis function neural networks with an adaptive annealing learning algorithm
- Interpolation by Ridge functions
- Diliberto-Straus algorithm for the uniform approximation by a sum of two algebras
- A note on the equioscillation theorem for best ridge function approximation
- On the error of approximation by ridge functions with two fixed directions
- On the approximation of a function of several variables by the sum of functions of fewer variables
- Ridge Functions and Applications in Neural Networks
- Uniform approximation by real functions
- Approximation by Solutions of the Planar Wave Equation
- Ridge Functions
- On the proximinality of ridge functions
- On functions of three variables
- A CHEBYSHEV THEOREM FOR THE APPROXIMATION OF A FUNCTION OF TWO VARIABLES BY SUMS OF THE TYPE ϕ(x) + ψ(y)
This page was built for publication: On the error of approximation by RBF neural networks with two hidden nodes