Radial Basis Function Networks

**Definition:** 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.

**Tree numbers:** - G17.485.875 - L01.224.050.375.605.875

**Synonyms:** - RBF Neural Networks - Radial Basis Function Neural Networks - RBFNNs - Radial Basis Networks