Application of Self-Organizing Maps to the Maritime Environment

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of problems. A simple and intuitive explanation of how a SOM is trained is provided, together with a formal explanation of the algorithm, and some of the more important parameters are discussed. Finally, an overview of different applications of SOMs in maritime problems is presented.
Original languageUnknown
Title of host publicationInformation Fusion and Geographic Information Systems, Proceedings
EditorsVV Popovich, M Schrenk, C Claramunt, KV Korolenko
Place of PublicationBerlin
PublisherSpringer-Verlag
Pages19-36
ISBN (Print)1863-2246 978-3-642-00303-5
Publication statusPublished - 1 Jan 2009

Publication series

NameLecture Notes in Geoinformation and Cartography
PublisherSpringer-Verlag

Cite this

Lobo, V. J. A. S. (2009). Application of Self-Organizing Maps to the Maritime Environment. In VV. Popovich, M. Schrenk, C. Claramunt, & KV. Korolenko (Eds.), Information Fusion and Geographic Information Systems, Proceedings (pp. 19-36). (Lecture Notes in Geoinformation and Cartography). Berlin: Springer-Verlag.
Lobo, Vitor José Almeida Sousa. / Application of Self-Organizing Maps to the Maritime Environment. Information Fusion and Geographic Information Systems, Proceedings. editor / VV Popovich ; M Schrenk ; C Claramunt ; KV Korolenko. Berlin : Springer-Verlag, 2009. pp. 19-36 (Lecture Notes in Geoinformation and Cartography).
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title = "Application of Self-Organizing Maps to the Maritime Environment",
abstract = "Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of problems. A simple and intuitive explanation of how a SOM is trained is provided, together with a formal explanation of the algorithm, and some of the more important parameters are discussed. Finally, an overview of different applications of SOMs in maritime problems is presented.",
keywords = "algorithms, spectra, Self-organizing, maps, florida, Kohonen, pattern-recognition, neural-networks, networks, classification, variability, tracking, sea, shelf, SOM, som, west",
author = "Lobo, {Vitor Jos{\'e} Almeida Sousa}",
note = "ISI Document Delivery No.: BMU62 Times Cited: 0 Cited Reference Count: 77 Lobo, Victor J. A. S. Proceedings Paper 4th International Workshop on Information Fusion and Geographical Information Systems May 17-20, 2009 St Petersburg, RUSSIA RAS, St Petersburg Inst Informat & Automat Heidelberger platz 3, d-14197 berlin, germany",
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isbn = "1863-2246 978-3-642-00303-5",
series = "Lecture Notes in Geoinformation and Cartography",
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booktitle = "Information Fusion and Geographic Information Systems, Proceedings",

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Lobo, VJAS 2009, Application of Self-Organizing Maps to the Maritime Environment. in VV Popovich, M Schrenk, C Claramunt & KV Korolenko (eds), Information Fusion and Geographic Information Systems, Proceedings. Lecture Notes in Geoinformation and Cartography, Springer-Verlag, Berlin, pp. 19-36.

Application of Self-Organizing Maps to the Maritime Environment. / Lobo, Vitor José Almeida Sousa.

Information Fusion and Geographic Information Systems, Proceedings. ed. / VV Popovich; M Schrenk; C Claramunt; KV Korolenko. Berlin : Springer-Verlag, 2009. p. 19-36 (Lecture Notes in Geoinformation and Cartography).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Application of Self-Organizing Maps to the Maritime Environment

AU - Lobo, Vitor José Almeida Sousa

N1 - ISI Document Delivery No.: BMU62 Times Cited: 0 Cited Reference Count: 77 Lobo, Victor J. A. S. Proceedings Paper 4th International Workshop on Information Fusion and Geographical Information Systems May 17-20, 2009 St Petersburg, RUSSIA RAS, St Petersburg Inst Informat & Automat Heidelberger platz 3, d-14197 berlin, germany

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of problems. A simple and intuitive explanation of how a SOM is trained is provided, together with a formal explanation of the algorithm, and some of the more important parameters are discussed. Finally, an overview of different applications of SOMs in maritime problems is presented.

AB - Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of problems. A simple and intuitive explanation of how a SOM is trained is provided, together with a formal explanation of the algorithm, and some of the more important parameters are discussed. Finally, an overview of different applications of SOMs in maritime problems is presented.

KW - algorithms

KW - spectra

KW - Self-organizing

KW - maps

KW - florida

KW - Kohonen

KW - pattern-recognition

KW - neural-networks

KW - networks

KW - classification

KW - variability

KW - tracking

KW - sea

KW - shelf

KW - SOM

KW - som

KW - west

M3 - Chapter

SN - 1863-2246 978-3-642-00303-5

T3 - Lecture Notes in Geoinformation and Cartography

SP - 19

EP - 36

BT - Information Fusion and Geographic Information Systems, Proceedings

A2 - Popovich, VV

A2 - Schrenk, M

A2 - Claramunt, C

A2 - Korolenko, KV

PB - Springer-Verlag

CY - Berlin

ER -

Lobo VJAS. Application of Self-Organizing Maps to the Maritime Environment. In Popovich VV, Schrenk M, Claramunt C, Korolenko KV, editors, Information Fusion and Geographic Information Systems, Proceedings. Berlin: Springer-Verlag. 2009. p. 19-36. (Lecture Notes in Geoinformation and Cartography).