Example: tourism industry

Chapter 3. Radial Basis Function Networks

Radial Basis Function Networks 3.1 Introduction A radial basis function network is a neural network approached by viewing the design as a curve-fitting (approximation) problem in a high dimensional space. ... similar to that of a hidden unit in a feed forward neural network. A dichotomy {X+, X-} of X is said to be ϕ-separable if there

Tags:

  Feed, Radial

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Transcription of Chapter 3. Radial Basis Function Networks

Related search queries