- 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 = "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
",
