%0 Book Section
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@mirrorrepository iconet.com.br/banon/2006/11.26.21.31
%4 sid.inpe.br/plutao/2014/12.01.14.18.31
%A Santos, Pettras Leonardo Bueno dos,
%A Campos Velho, Haroldo Fraga de,
%A Cintra, Rosangela Saher Correa,
%A Sandri, Sandra Aparecida,
%@secondarytype PRE LI
%B Recent Developments And New Directions In Soft Computing
%D 2014
%E Zadeh, L. A.,
%E Abbasov, A. M.,
%E Yager, R. R.,
%E Shahbazova, S. N.,
%E Reformat, M. Z.,
%F lattes: 8185155301349092 3 SantosCampCintSand:2014:ChSyPr
%I Springer
%K Chaotic systems, Bred vectors, Lorenz attractor, Three-waves problem, Neural networks, Neuro-fuzzy systems.
%P 295-313
%S Studies in Fuzziness and Soft Computing, 317
%T Chaotic Systems Predictability using Neuro-Fuzzy Systems and Neural Networks with Bred Vectors
%U http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-319-06322-5
%V 317
%X The predictability of the behavior of chaotic systems is of great importance because many real-world phenomena have some type of chaotic regime. In chaotic systems, small changes in the initial conditions can lead to very different results from the original system trajectory. The prediction of chaotic systems behavior is usually very difficult, particularly in practical applications in which initial conditions are obtained by measurement instruments, very often subject to acquisition errors. Here we use bred vectors methodology to generate pairs of input/output that are then used to train Neural Networks and Neuro-Fuzzy Systems. We apply the approach to predict regime change for Lorenz strange attractors and the nonlinear coupled three-waves problem from solar physics.
%@area COMP
%@electronicmailaddress pettrasleonardo@yahoo.com.br
%@electronicmailaddress haroldo@lac.inpe.br
%@electronicmailaddress rosangela.cintra@lac.inpe.br
%@electronicmailaddress sandra.sandri@inpe.br
%@e-mailaddress marcelo.pazos@inpe.br
%@documentstage not transferred
%@group CAP-COMP-SPG-INPE-MCTI-GOV-BR
%@group LAC-CTE-INPE-MCTI-GOV-BR
%@group LAC-CTE-INPE-MCTI-GOV-BR
%@group LAC-CTE-INPE-MCTI-GOV-BR
%@isbn 9783319063225
%@usergroup lattes
%@usergroup marcelo.pazos@inpe.br
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHC3
%@resumeid 8JMKD3MGP5W/3C9JJ75
%@resumeid 8JMKD3MGP5W/3E3JEJL
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3F2PHGS
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@tertiarymark 8JMKD3MGP5W34M/3GF6ESE
%2 sid.inpe.br/plutao/2014/12.01.14.18.32