Multilayer Perceptron

S. Lek; Y. S. Park

doi:10.1016/B978-008045405-4.00162-2

Multilayer Perceptron

S. Lek, Y. S. Park

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

20 Citations (Scopus)

Abstract

The multilayer perceptron is a nonlinear mapping structure based on the learning processes. It has been shown to be a universal and highly flexible function approximator for any data. It is a powerful tool for ecological models, especially when the underlying data relationships are unknown.

Original language	English
Title of host publication	Encyclopedia of Ecology, Five-Volume Set
Publisher	Elsevier
Pages	2455-2462
Number of pages	8
Volume	1-5
ISBN (Electronic)	9780080454054
DOIs	https://doi.org/10.1016/B978-008045405-4.00162-2
Publication status	Published - 1 Jan 2008

Bibliographical note

Publisher Copyright:
© 2008 Elsevier B.V. All rights reserved.

Keywords

Artificial neural networks
Backpropagation algorithms
Feedforward algorithms
Supervised learning

Access to Document

10.1016/B978-008045405-4.00162-2

Cite this

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KW - Backpropagation algorithms

KW - Feedforward algorithms

KW - Supervised learning

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ER -

Multilayer Perceptron

Abstract

Bibliographical note

Keywords

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