Using multilayer neural networks to estimate the parameters of the nonlinear Baret model

• Autorzy: Enăchescu C. , Constantinescu A.
• Języki publikacji: EN

Abstrakty

EN

The complexity of the nonlinear models with random parameters doesn't generally allow to resolve in an easy way the parameters estimation problem. In this paper we design and use a multilayer neural network (MLNN) for the parameters estimation. We deal with the Baret model for the temporal evolution of the leaf area index (LAI).

Słowa kluczowe

EN

neural network; nonlinear model; parameter estimation

PL

sieć neuronowa; model nieliniowy; estymacja parametrów

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2007
• Tom: Vol. 27, no. 3
• Strony: 95--111
• Opis fizyczny: Bibliogr. 12 poz., rys., tab. ,wykr.

Twórcy

autor

Enăchescu C.

autor

Constantinescu A.

• Romanian Academy, Institute of Mathematical Statistics and Applied Mathematics, Calea 13 Septembrie No. 13, Bucharest 50711, Romania,

Bibliografia

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