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@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"
}


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