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Time series models discovery with similarity-based neuro-fuzzy networks and evolutionary algorithms

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1 Author(s)
Valdes, J.J. ; Inst. for Inf. Technol., Nat. Res. Council of Canada, Montreal, Ont., Canada

The discovery of patterns of dependency in heterogeneous multivariate dynamic systems is approached with similarity-based neuro-fuzzy networks and evolutionary algorithms. The search space contains general autoregressive non-linear models representing the dependency structure of the process. Examples show that the proposed approach gives better results than the classical statistical one

Published in:

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:3 )

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