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Evolutionary Multi-layer Perceptron

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Book cover Evolutionary Algorithms and Neural Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 780))

Abstract

This chapter trains Multi-Later Perceptron (MLP) using several optimisation algorithms. A set of test and real-world case studies is employed to compare the proposed evolutionary trainers.

Part of this chapter has been reprinted from Seyedali Mirjalili, Seyed Mohamed Mirjalili and Andrew Lewis article: Let a biogeography-based optimizer train your multilayer perceptron, Information Science, Volume 269, pp. 188–209, 2014

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Authors and Affiliations

  1. Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, QLD, Australia

    Seyedali Mirjalili

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  1. Seyedali Mirjalili
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Correspondence to Seyedali Mirjalili .

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Mirjalili, S. (2019). Evolutionary Multi-layer Perceptron. In: Evolutionary Algorithms and Neural Networks. Studies in Computational Intelligence, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-93025-1_7

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