@InProceedings{NowosadCampRios:2000:NeNeDa,
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 = "Neural Networks in Data Assimilation",
booktitle = "Abstracts...",
year = "2000",
pages = "8",
organization = "Encontro Regional De Matem{\'a}tica Aplicada e Computacional
(ERMAC).",
keywords = "Neural networks, Data assimilation, Computer science,
ENGINEERING.",
abstract = "ABSTRACT: In the case of atmospheric continuous data assimilation
there are many deterministic and probabilistic methods. A new
approach based on neural networks is proposed. The new aproach
adopted requires training of a multilayered perceptron to emulate
a chosen data assimlation method. Here, Kalman filter data
assimilation methods were used to generate training examples for
the networks. Tests are performed using the Henon mapping and
Lorenz evolution system. In the case of Henon system an Adaptive
Extended Kalman Filter is used to provide examples for network
training. In the case of Lorenz system the Extended Kalman Filter
is used for network training. The preliminary results obtained are
promising. .",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
conference-year = "15-17 mar.",
language = "en",
urlaccessdate = "29 jun. 2024"
}