Phenomena and Processes

Radial Basis Function Networks

A three-layer neural network made of an input layer, hidden layer, and output layer. Radial basis function networks are used for function approximation, interpolation, classification, and time series prediction.

National Library of MedicineMedical Subject Headings2026

Structured Summary

Abstract

A three-layer neural network made of an input layer, hidden layer, and output layer. Radial basis function networks are used for function approximation, interpolation, classification, and time series prediction.

MeSH Record

Classification

Broader headings

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MeSH Record

Synonyms

12 entry terms
  • RBF Neural Networks
  • RBFNNs
  • Radial Basis Function Neural Networks
  • Radial Basis Networks
  • Network, RBF Neural
  • Network, Radial Basis
  • Neural Network, RBF
  • RBF Neural Network
  • Radial Basis Network
  • Radial Basis Functions
  • Function, Radial Basis
  • Radial Basis Function

MeSH Record

History Note

2025

MeSH Record

Previous Indexing

  • Neural Networks, Computer (1995-2024)

MeSH Hierarchy

Tree Numbers

  1. G17w.485w.875w
  2. L01w.224w.050w.375w.605w.875w

AMA Style

References

  1. National Library of Medicine. Radial Basis Function Networks. Medical Subject Headings (MeSH). 2026. Unique ID D000098423. http://id.nlm.nih.gov/mesh/2026/D000098423
  2. Radial Basis Function Networks. In: Wikipedia. https://en.wikipedia.org/wiki/Radial_basis_function_network
  3. Radial Basis Function Networks. In: Wikidata. https://www.wikidata.org/wiki/Q2679684