Evolutionary radial basis function networks

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages35
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X

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    Mirjalili, S. (2019). Evolutionary radial basis function networks. In Studies in Computational Intelligence (pp. 105-139). (Studies in Computational Intelligence; Vol. 780). Springer Verlag. https://doi.org/10.1007/978-3-319-93025-1_8