@InProceedings{NowosadCampRios:2000:DaAsCh,
author = "Nowosad, Alexandre Guirland and Campos Velho, Haroldo Fraga de and
Rios Neto, Atair",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade do Vale
do Para{\'{\i}}ba (UNIVAP)}",
title = "Data assimilation in chaotic dynamics using neural networks",
booktitle = "Proceedings...",
year = "2000",
organization = "International Conference on Nonlinear Dynamics, Chaos, Control and
Their Applications in Engineering Sciences (ICONNE).",
keywords = "Data assimilation, Chaotic dynamics, Neural networks, COMPUTER
SCIENCE.",
abstract = "ABSTRACT: Multilayered Perceptrons Neural Networks are used for
data assimilation in two non-linear dynamic systems: the H\'enon
and Lorenz systems in chaotic state. This aproach {"}emulates{"}
here the Kalman Filter data assimilation method but does not
require recalculation of the gain matrix at each instant of
assimilation. In the case of H\'enon system an Adaptive Extended
Kalman Filter was used to provide examples for network training.
In the case of Lorenz system the Extended Kalman Filter was used
for network training. The preliminary results obtained were
promising. .",
conference-location = "Campos do Jord{\~a}o, SP",
conference-year = "july 31-aug. 4",
language = "en",
urlaccessdate = "29 jun. 2024"
}