Evolutionary feedforward neural networks

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Feedforward Neural Networks (FNN) have been of the most popular NNs with a wide range of applications. The process of finding optimal values for controlling parameters of a NN is called training and can be considered as an optimisation problem. This chapter trains FNNs using several optimisation algorithms.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages75-86
Number of pages12
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume780
ISSN (Print)1860-949X

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  • Cite this

    Mirjalili, S. (2019). Evolutionary feedforward neural networks. In Studies in Computational Intelligence (pp. 75-86). (Studies in Computational Intelligence; Vol. 780). Springer Verlag. https://doi.org/10.1007/978-3-319-93025-1_6