RBF networks were introduced into the neural network literature by Broomhead/Lowe and Poggio/Girosi in the late 1980s. The RBF network model is motivated by the locally tuned response observed in biologic neurons, e.g. in the visual or in the auditory system. RBFs have been studied in multivariate approximation theory, particularly in the field of function interpolation. The RBF neural network model is an alternative to multilayer perceptron which is perhaps the most often used neural network architecture.

Research

- learning in RBF networks
- initalization techniques of RBF networks
- hierarchical RBF networks
- pattern recognition with RBF networks
- time series prediction with RBF networks