Application of Self-Organizing Maps to the Maritime Environment

Research output: Chapter in Book/Report/Conference proceedingChapter

12 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

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