Adaptive model structures for nonlinear system identification

• Autorzy: Dydyński, A.
• Języki publikacji: EN

Abstrakty

EN

This article addresses nonlinear black-box identification using parametric models. A novel adaptive method for the choice of both the model structure and its parameter values is introduced. Experiments in nonlinear time-series modelling and prediction are presented. The method can be seen as unification model of neural networks of all types in the sense as meta-learning applies to the area of predictive data mining, to combine the predictions from multiple models.

Słowa kluczowe

EN

nonlinear system; model structures; parameter estimation

• Czasopismo: Systems Science
• Rocznik: 2008
• Tom: Vol. 34, no 2
• Strony: 35-41
• Opis fizyczny: Bibliogr. 13 poz., wykr.

Twórcy

autor

Dydyński, A.

• Institute of Electronic Systems, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warszawa,

Bibliografia

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