Radial Basis Function (RBF) networks are one of the most popular and applied type of neural networks. RBF networks are universal approximators and considered as special form of multilayer feedforward neural networks that contain only one hidden layer with Gaussian based activation functions. This chapter trains such NNs with several optimisation algorithms and compares their performance.
|Title of host publication||Studies in Computational Intelligence|
|Number of pages||35|
|Publication status||Published - 1 Jan 2019|
|Name||Studies in Computational Intelligence|