Self-Organizing Operator Maps in Complex System Analysis

نویسندگان

  • Pasi Lehtimäki
  • Kimmo Raivio
  • Olli Simula
چکیده

The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation is a soft computing hybridisation combining the learning capabilities of the neural networks with the linguistic representation of data provided by the fuzzy models. In this paper, a framework to build temporally local neuro-fuzzy systems for the analysis of nonstationary process data using self-organizing operator maps is described.

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تاریخ انتشار 2003