Self-organizing operator maps in complex system analysis

Authors:
Pasi Lehtimäki;Kimmo Raivio;Olli Simula
Affiliations:
Helsinki University of Technology, Laboratory of Computer and Information Science, Finland;Helsinki University of Technology, Laboratory of Computer and Information Science, Finland;Helsinki University of Technology, Laboratory of Computer and Information Science, Finland
Venue:
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Year:
2003

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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.