@InCollection{SantosCampCintSand:2014:ChSyPr,
               author = "Santos, Pettras Leonardo Bueno dos and Campos Velho, Haroldo Fraga 
                         de and Cintra, Rosangela Saher Correa and Sandri, Sandra 
                         Aparecida",
                title = "Chaotic Systems Predictability using Neuro-Fuzzy Systems and 
                         Neural Networks with Bred Vectors",
            booktitle = "Recent Developments And New Directions In Soft Computing",
            publisher = "Springer",
                 year = "2014",
               editor = "Zadeh, L. A. and Abbasov, A. M. and Yager, R. R. and Shahbazova, 
                         S. N. and Reformat, M. Z.",
                pages = "295--313",
             keywords = "Chaotic systems, Bred vectors, Lorenz attractor, Three-waves 
                         problem, Neural networks, Neuro-fuzzy systems.",
             abstract = "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.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                 isbn = "9783319063225",
                label = "lattes: 8185155301349092 3 SantosCampCintSand:2014:ChSyPr",
             language = "pt",
          seriestitle = "Studies in Fuzziness and Soft Computing, 317",
                  url = "http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-319-06322-5",
               volume = "317",
        urlaccessdate = "27 abr. 2024"
}