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Book Chapter

Evolutionary radial basis function networks

Springer Verlag, (2019), 105-139
DOI: 10.1007/978-3-319-93025-1_8
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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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APA

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

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