Evolutionary Neuro-Fuzzy Models Applied to Nuclear Engineering Process Identification and Control

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@PhdThesis{domingos:phdthesis,
  author =       "Roberto Pinheiro Domingos",
  title =        "Evolutionary Neuro-Fuzzy Models Applied to Nuclear
                 Engineering Process Identification and Control",
  school =       "COPPE, Universidade Federal Rio de Janeiro",
  year =         "2003",
  address =      "Rua Vilela Tavares 253 apto 801 Lins - Rio de Janeiro
                 -RJ-BRASIL",
  month =        jun,
  email =        "roberto.domingos@terra.com.br",
  keywords =     "genetic algorithms, genetic programming, additive
                 neurofuzzy",
  URL =          "http://antigo.nuclear.ufrj.br/DScTeses/teses_2003.htm",
  size =         "161 pages",
  abstract =     "This work develops two soft computer models based on
                 genetic programming system, these models are then
                 applied to two engineering problems. At the first
                 application obtaining an axial xenon oscillation
                 controller of a nuclear reactor is investigated,
                 several obtained controllers are discussed and the best
                 one is compared with a neuro-fuzzy model. In the second
                 application a hybrid model involving different soft
                 computer techniques was developed and applied to a
                 system identification benchmark problem, the identified
                 model has its characteristics compared with models
                 obtained through different techniques.",
  notes =        "Modelos Neuronebulosos Evolucionarios Aplicados ao
                 Controle de Processos Nucleares Data de Defesa:
                 30/06/2003. UFRJ Supervisors: Prof. Roberto Schirru and
                 Prof. Aquilino Senra Martinez

                 neurofuzzy genetic programming

                 ",
}

Genetic Programming entries for Roberto Pinheiro Domingos

Citations