Application of Self-Organizing Maps to the Maritime Environment
نویسنده
چکیده
Self-Organizing Maps, or Kohonen networks, are a widely used neural network architecture. This paper starts with a brief overview of how selforganizing maps can be used in different types of problems. A simple and intuitive explanation of how a self-organizing map 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.
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