Application of self-organizing maps to the maritime environment
VJAS Lobo - … and Geographic Information Systems: Proceedings of …, 2009 - Springer
Information Fusion and Geographic Information Systems: Proceedings of the …, 2009•Springer
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.
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.
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.
Springer
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