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2019 | OriginalPaper | Chapter

8. Evolutionary Radial Basis Function Networks

Author : Seyedali Mirjalili

Published in: Evolutionary Algorithms and Neural Networks

Publisher: Springer International Publishing

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Abstract

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.

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Metadata
Title
Evolutionary Radial Basis Function Networks
Author
Seyedali Mirjalili
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-93025-1_8

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