@InProceedings{SambattiAnLuCaShCa:2012:AuCoNe,
               author = "Sambatti, Sabrina Bergoch Monteiro and Anochi, Juliana Aparecida 
                         and Luz, Eduardo F{\'a}vero Pacheco da and Carvalho, Adenilson R. 
                         and Shiguemori, Elcio Hideiti and Campos Velho, Haroldo Fraga de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and SERPRO and {Instituto de Estudos 
                         Avan{\c{c}}ado (IEAv)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Automatic con\figuration for neural network applied to 
                         atmospheric temperature pro\file identi\fication",
            booktitle = "Proceedings...",
                 year = "2012",
         organization = "International Conference on Engineering Optimization (EngOpt).",
             keywords = "Atmospheric temperature profile, artificial neural network, 
                         optimized topology, inverse problem.",
             abstract = "Multi-particle collision algorithm (MPCA) is applied to design an 
                         optimum architecture for a supervised ANN. The MPCA optimization 
                         algorithm emulates a collision process of multiple particles 
                         inspired in processes of a neutron traveling in a nuclear reactor. 
                         The procedure to carry out the automatic configuration for 
                         multi-layer perceptron (MLP) neural network is applied to identify 
                         the vertical temperature profiles are obtained from measured 
                         satellite radiance data. The MLP-NN is trained with data provided 
                         by the direct model characterized by the Radiative Transfer 
                         Equation (RTE). The MLP-NN results are compared to the ones 
                         computed using regularized inverse solutions. In addition to 
                         synthetic data (corrupted by noise), real radiation data from the 
                         HIRS/2 (High Resolution Infrared Radiation Sounder) is used as 
                         input for the MLP-NN to generate temperature profiles that are 
                         compared with the temperature profiles measured by a radiosonde. 
                         The comparison between the results obtined with automatic process 
                         and previous configuration chosen by an expert is evaluated.",
  conference-location = "Rio de Janeiro - RJ",
      conference-year = "2012",
                label = "lattes: 2720072834057575 2 SambattiAnLuCaShCa:2012:AuCoNe",
             language = "en",
           targetfile = "sambatti_automatic.pdf",
        urlaccessdate = "30 abr. 2024"
}