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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
03/01/2011 |
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Data da última atualização: |
04/01/2011 |
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Autoria: |
HALSALL, D. M. |
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Título: |
Effects of certain cations on the formation and infectivity of Phytophthora zoospore. 2. Effects of copper, boron, cobalt, manganese, molybdenum, and zinc ions. |
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Ano de publicação: |
1977 |
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Fonte/Imprenta: |
Canadian Journal of Microbiology, v. 23, p. 1002-1010, 1977. |
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Idioma: |
Inglês |
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Thesaurus Nal: |
boron; cobalt; copper; manganese; molybdenum; zinc. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00570naa a2200181 a 4500
001 1871488
005 2011-01-04
008 1977 bl --- 0-- u #d
100 1 $aHALSALL, D. M.
245 $aEffects of certain cations on the formation and infectivity of Phytophthora zoospore. 2. Effects of copper, boron, cobalt, manganese, molybdenum, and zinc ions.
260 $c1977
650 $aboron
650 $acobalt
650 $acopper
650 $amanganese
650 $amolybdenum
650 $azinc
773 $tCanadian Journal of Microbiology$gv. 23, p. 1002-1010, 1977.
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Registro original: |
Embrapa Trigo (CNPT) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/11/2015 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LIMA, H. P. de; CAMARGO, H. de A. |
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Afiliação: |
HELANO PÓVOAS DE LIMA, CNPTIA; HELOISA DE ARRUDA CAMARGO, UFSCar. |
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Título: |
A methodology for building fuzzy rule-based systems integrating expert and data knowledge. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS, 2014, São Carlos. Proceedings... [S. l.]: Conference Publishing Services, 2014. |
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Páginas: |
p. 300-305. |
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DOI: |
10.1109/BRACIS.2014.61 |
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Idioma: |
Inglês |
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Notas: |
BRACIS 2014. |
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Conteúdo: |
Historically, since Mamdani proposed his model of fuzzy rule-based system, a lot has changed in the construction process of this type of models. For a long time, the research efforts were directed towards the automatic construction of accurate models starting from data, making fuzzy systems almost mere function approximators. Realizing that this approach escapes from the original concept of fuzzy theory, more recently, researchers attention - focused on the automatic construction of more interpretable models. However, such models, although interpretable, can still not make sense to the expert. This paper proposes an interactive methodology for constructing fuzzy rule-based systems, which aims to integrate the knowledge extracted from experts and induced from data, hoping to contribute to the solution of the mentioned problem. |
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Palavras-Chave: |
Algoritmo genético; Construction methodology; Domain expert; Fuzzy system; Metodologia; Multiobjective genetic algorithm. |
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Thesaurus NAL: |
Expert opinion; Fuzzy logic; Knowledge. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01715nam a2200265 a 4500
001 2028658
005 2020-01-08
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1109/BRACIS.2014.61$2DOI
100 1 $aLIMA, H. P. de
245 $aA methodology for building fuzzy rule-based systems integrating expert and data knowledge.$h[electronic resource]
260 $aIn: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS, 2014, São Carlos. Proceedings... [S. l.]: Conference Publishing Services$c2014
300 $ap. 300-305.
500 $aBRACIS 2014.
520 $aHistorically, since Mamdani proposed his model of fuzzy rule-based system, a lot has changed in the construction process of this type of models. For a long time, the research efforts were directed towards the automatic construction of accurate models starting from data, making fuzzy systems almost mere function approximators. Realizing that this approach escapes from the original concept of fuzzy theory, more recently, researchers attention - focused on the automatic construction of more interpretable models. However, such models, although interpretable, can still not make sense to the expert. This paper proposes an interactive methodology for constructing fuzzy rule-based systems, which aims to integrate the knowledge extracted from experts and induced from data, hoping to contribute to the solution of the mentioned problem.
650 $aExpert opinion
650 $aFuzzy logic
650 $aKnowledge
653 $aAlgoritmo genético
653 $aConstruction methodology
653 $aDomain expert
653 $aFuzzy system
653 $aMetodologia
653 $aMultiobjective genetic algorithm
700 1 $aCAMARGO, H. de A.
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Embrapa Agricultura Digital (CNPTIA) |
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Registro completo
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Biblioteca(s): |
Catálogo Coletivo de Periódicos Embrapa; Embrapa Florestas; Embrapa Meio Ambiente; Embrapa Meio-Norte; Embrapa Trigo. |
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Identificador: |
69 |
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Data corrente: |
09/05/2002 |
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Data da última atualização: |
30/04/2015 |
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Código do título: |
0900016 |
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ISSN: |
0301-2123 |
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Código CCN: |
000690-4 |
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Título e Subtítulo: |
ACTA BIOLOGICA PARANAENSE |
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Entidade: |
Instituto de Biologia da Universidade Federal do Parana |
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Local de publicação: |
Curitiba, PR |
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Periodicidade: |
Irregural |
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Inicio de publicação: |
1972 |
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Coleções da unidade: |
Embrapa Florestas
1972 1(1/2,3/4); 1975 4(1/2,3/4); 1976 5(3/4); 1983 12(1/4); 1985 14(1/4); 1986 15(1/4); 1987 16(1/4); 1988 17(1/4); 1989 18(1/4); 1990 19(1/4); 1991 20(1/4); 1992 21(1/4); 1994 23(1/4); 1995 24(1/4); 1996 25(1/4); 1997 26(1/4); 1998 27(1/4); 1999 28(1/4); 2000 29(1/4); 2001 30(1/4); 2002 31(1/4); 2003 32(1/4); 2004 33(1/4); 2005 34(1/4); 2006 35(1/2,3/4); 2007 36(1/2,3/4); 2008 37(1/2,3/4); 2009 38(1/2,3/4); 2010 39(1/2,3/4); 2011 40(1/2,3/4); 2012 41(1/2,3/4)
Embrapa Meio Ambiente
1972/2012 1(1/2); 4 (1/2,3/4); 5(1/2,3/4); 6(1/4); 8; 7(1/4); 8(1/4); 9(1/4); 10(1/4); 11(1/4); 12(1/4); 13(1/4); 14(1/4); 15(1/4); 16(1/4); 17(1/4); 18(1/4); 19(1/4); 20(1/4); 21(1/4); 22(1/4); 23(1/4); 24(1/4); 25(1/4); 26(1/4); 27(1/4); 28(1/4); 29(1/4); 30(1/4); 31(1/4); 32(1/4); 33(1/4); 34(1/4); 35(1/2, 3/4); 36(1/4); 37(1/4); 38(1/4); 39(1/4); 40(1/4); 41(1/4)
Embrapa Meio-Norte
1972 1(1/2); 1985-2008 14-38; 2011 40(1-4); 2012 41(1/4)
Classificação: 574.05
Embrapa Trigo
1972/91 1 1972; 2 1973; 3 1974; 4 1975; 5 1976; 6 1977; 7 1978; 8 1979; 9 1980; 10 1981; 11 1982; 12 1983; 13 1984; 14 1985; 15 1986; 16 1987; 18 1989; 19 1990; 20 1991; 28(1-4) 1999.
Classificação: 574.05 |
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