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11

ICANN
2003
Springer

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Self-Organizing Operator Maps in Complex System Analysis

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Self-Organizing Operator Maps in Complex System Analysis

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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.

Pasi Lehtimäki, Kimmo Raivio, Olli Simula

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Data Analysis Methods | ICANN 2003 | Local Neuro-fuzzy Systems | Neuro-fuzzy Computation |

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Added	06 Jul 2010
Updated	06 Jul 2010
Type	Conference
Year	2003
Where	ICANN
Authors	Pasi Lehtimäki, Kimmo Raivio, Olli Simula

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