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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Application of Self-Organizing Maps to the Maritime Environment
verfasst von : Victor J. A. S. Lobo
Erschienen in: Information Fusion and Geographic Information Systems
Verlag: Springer Berlin Heidelberg
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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.