Application of Self-Organizing Maps to the Maritime Environment

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.

• Type: Conference
• Year: 2009
• Where: IFGIS
• Authors: Victor Sousa Lobo
• Keywords: Brief Overview, IFGIS 2009, Information System, Neural Network Architecture, Self-organizing Maps