Self-Organizing Operator Maps in Complex System Analysis

Abstract. 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.

• Type: Conference
• Year: 2003
• Where: ICANN
• Authors: Pasi Lehtimäki, Kimmo Raivio, Olli Simula
• Keywords: Data Analysis Methods, ICANN 2003, Local Neuro-fuzzy Systems, Neuro-fuzzy Computation