Radial Basis Functions (RBFs)

The following section describes the use of generalized radial basis functions inside SNNS. First, a brief introduction to the mathematical background of radial basis functions is given. Second, the special procedures of initialization and training of neural nets based on radial basis functions are described. At the end of the chapter a set of necessary actions to use radial basis functions with a specific application are given.

• RBF Fundamentals
• RBF Implementation in SNNS
  • Activation Functions
  • Initialization Functions
    • RBF_Weights
    • RBF_Weights_Kohonen
    • RBF_Weights_Redo
  • Learning Functions
• Building a Radial Basis Function Application