Evolutionary feedforward neural networks

Seyedali Mirjalili

doi:10.1007/978-3-319-93025-1_6

Evolutionary feedforward neural networks

Seyedali Mirjalili

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	Studies in Computational Intelligence
Publisher	Springer Verlag
Pages	75-86
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-319-93025-1_6
Publication status	Published - 1 Jan 2019
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Volume	780
ISSN (Print)	1860-949X

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10.1007/978-3-319-93025-1_6

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Evolutionary feedforward neural networks

Abstract

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