Radial Basis Function Network: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

8 December 2023

  • curprev 13:5313:53, 8 December 2023‎ Ai talk contribs‎ 2,813 bytes +2,813‎ Created page with "== Introduction == A RBF Network is a type of artificial neural network that uses radial basis functions as activation functions. It is a linear combination of radial basis functions. They are used in function approximation, time series prediction, and control. == Structure == In its simplest form, an RBF network is a three-layer feedforward artificial neural network. The layers are typically referred to as the input layer, the hidden..."
Retrieved from "https://canonica.ai/page/Radial_Basis_Function_Network"