@InProceedings{AnochiCampFurtLuz:2014:SeTwTy,
author = "Anochi, Juliana Aparecida and Campos Velho, Haroldo Fraga de and
Furtado, Helaine C. M. and Luz, Eduardo F. P. da",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Self-configuring two types neural networks by MPCA",
booktitle = "Proceedings...",
year = "2014",
organization = "Uncertainties.",
keywords = "Neural networks, MPCA (Multiple Particle Collision Algorithm),
Data assimilation.",
abstract = "Neural network is a technique successfully employed in many
applications on several research fields. An appropriate
configuration for a neural networks is a tedious task, and it
often requires the knowledge of an expert on the application. In
this paper, a technique for automatic configuration for two types
of neural networks is presented. The multilayer perceptron and
recurrent Elman are the neural networks used here. The
determination of optimal parameters for the neural network is
formulated as an optimization problem, solved with the use of
meta-heuristic MPCA (Multiple Particle Collision Algorithm). The
self-configuring networks are applied to perform data
assimilation.",
conference-location = "Rouen, France",
conference-year = "2014",
isbn = "978-2-9549779",
label = "lattes: 2720072834057575 1 AnochiCampFurtLuz:2014:SeTwTy",
language = "en",
targetfile = "Anochi_self.pdf",
url = "http://uncertainties2014.insa-rouen.fr/index.html",
urlaccessdate = "28 mar. 2024"
}