Analysis and Modeling of Complex Systems Using the Self Organizing Map

نویسندگان

  • Olli Simula
  • Juha Vesanto
  • Esa Alhoniemi
چکیده

The Self Organizing Map SOM is a powerful neural network for analysis and visualization of high dimensional data It maps nonlinear statistical relationships be tween high dimensional input data into simple geometric relationships on a usually two dimensional grid The mapping roughly preserves the most important topological and metric relationships of the original data elements and thus inherently clusters the data The need for e cient data visualization and clustering is often faced in various engineering problems In this chapter SOM based methods are applied in analysis monitoring and modeling of complex systems

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تاریخ انتشار 1999