An improved radial basis function Neuron network based on the \(l_1\) regularization

DOI10.1142/S0219876223500147MaRDI QIDQ6564387

Manxi Liu, Yunling Kang, G. D. Liu, Guoqiao You

Publication date: 1 July 2024

Published in: International Journal of Computational Methods (Search for Journal in Brave)

zbMATH Keywords

classificationneural networkradial basis functionregression\( l_1\) optimization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial neural networks and deep learning (68T07) Numerical radial basis function approximation (65D12)

Cites Work

• Optimization methods for box-constrained nonlinear programming problems based on linear transformation and Lagrange interpolating polynomials
• Optimal interval length for the collocation of the Newton interpolation basis
• Probing the Pareto Frontier for Basis Pursuit Solutions
• Local error estimates for radial basis function interpolation of scattered data
• The In-Crowd Algorithm for Fast Basis Pursuit Denoising
• Multiple predictingK-fold cross-validation for model selection
• Aspects of Total Variation RegularizedL¹Function Approximation
• Title not available (Why is that?)

This page was built for publication: An improved radial basis function Neuron network based on the \(l_1\) regularization

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6564387)