|
|
Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
09/12/2020 |
Data da última atualização: |
11/12/2020 |
Tipo da produção científica: |
Documentos |
Autoria: |
CUNHA, L. M. S.; ANTUNES, J. F. G.; MOURA, M. F. |
Afiliação: |
LUIZ MANOEL SILVA CUNHA, CNPTIA; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; MARIA FERNANDA MOURA, CNPTIA. |
Título: |
Desvendando o software Fuzzy Inference System Professional - FisPro. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Campinas: Embrapa Informática Agropecuária, 2020. |
Páginas: |
26 p. |
Descrição Física: |
il. |
Série: |
(Embrapa Informática Agropecuária. Documentos, 169). |
ISSN: |
1677-9274 |
Idioma: |
Português |
Conteúdo: |
Seres humanos são capazes de lidar com processos bastante complexos, baseados em informações imprecisas ou aproximadas. Para apoiar esses processos, os Sistemas de Inferência Fuzzy Inference Systems (FIS) têm se mostrado ferramentas bastante apropriadas. Este documento apresenta, no formato de tutorial, conceitos sobre FIS e sua estrutura, o software Fuzzy Inference System Professional (FisPro) e um estudo de caso demonstrando a utilização de alguns recursos contidos neste software. |
Palavras-Chave: |
Fuzzy Inference Sytem; Lógica fuzzy; Sistema de inferência fuzzy; Software FisPro. |
Thesaurus Nal: |
Fuzzy logic. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/219029/1/Doc169-2020.pdf
|
Marc: |
LEADER 01200nam a2200229 a 4500 001 2127936 005 2020-12-11 008 2020 bl uuuu u0uu1 u #d 022 $a1677-9274 100 1 $aCUNHA, L. M. S. 245 $aDesvendando o software Fuzzy Inference System Professional - FisPro.$h[electronic resource] 260 $aCampinas: Embrapa Informática Agropecuária$c2020 300 $a26 p.$cil. 490 $a(Embrapa Informática Agropecuária. Documentos, 169). 520 $aSeres humanos são capazes de lidar com processos bastante complexos, baseados em informações imprecisas ou aproximadas. Para apoiar esses processos, os Sistemas de Inferência Fuzzy Inference Systems (FIS) têm se mostrado ferramentas bastante apropriadas. Este documento apresenta, no formato de tutorial, conceitos sobre FIS e sua estrutura, o software Fuzzy Inference System Professional (FisPro) e um estudo de caso demonstrando a utilização de alguns recursos contidos neste software. 650 $aFuzzy logic 653 $aFuzzy Inference Sytem 653 $aLógica fuzzy 653 $aSistema de inferência fuzzy 653 $aSoftware FisPro 700 1 $aANTUNES, J. F. G. 700 1 $aMOURA, M. F.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
18/01/2018 |
Data da última atualização: |
18/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
PEREIRA, H. S.; ALVARES, R. C.; MELO, L. C.; COSTA, A. F. da; CARVALHO, H. W. L. de; FARIA, L. C. de; SOUZA, T. L. P. O. de. |
Afiliação: |
HELTON SANTOS PEREIRA, CNPAF; RENATA CRISTINA ALVARES, UFG; LEONARDO CUNHA MELO, CNPAF; ANTONIO FELIX DA COSTA, IPA; HELIO WILSON LEMOS DE CARVALHO, CPATC; LUIS CLAUDIO DE FARIA, CNPAF; THIAGO LIVIO PESSOA OLIV DE SOUZA, CNPAF. |
Título: |
Genotype by environment interaction of "carioca" seeded common bean advanced lines in northeastern Brazil. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Semina: Ciências Agrárias, Londrina, v. 37, n. 4, p. 1745-1756, jul./ago. 2016. |
DOI: |
10.5433/1679-0359.2016v37n4p1745 |
Idioma: |
Inglês |
Conteúdo: |
The objectives of the present work were to identify common bean lines with high grain yield, adaptability and stability; stratify the environment; and detect the most important factors for the genotype by environment (GxE) interaction in northeastern Brazil. Nineteen experiments were conducted in a randomized block design with three replications during the rainy growing season at 11 locations in the States of Pernambuco, Alagoas, Sergipe, and Bahia in 2009 and 2010. In each experiment, 16 "carioca" seeded lines were evaluated, and the grain yield, assessed. Data were subjected to analyses of variance and adaptability and stability by the methodologies of Annicchiarico and Additive Main Effects and Multiplicative Interactions (AMMI), analysis of the factors for environmental stratification and joint analysis with decomposition of the GxE interaction in genotype by year and genotype by location. According to the AMMI method, BRS Estilo and CNFC 11951 were selected as stable high-yielding lines. CNFC 11954, IPR Juriti, CNFC 11948 and BRS Estilo were identified as stable high-yielding lines based on the methodology of Annicchiarico. BRS Estilo was identified as stable according to both methodologies and was therefore considered suitable for growth in the Northeast region for use as a parent line in regional breeding programs. The locations in this region used to test the common bean lines were informative, except Carira, which could be eliminated from the assay network. Interaction among genotypes, locations and years were observed, suggesting that assessments shoud be conducted at the largest number of locations and years, in this order of importance. MenosThe objectives of the present work were to identify common bean lines with high grain yield, adaptability and stability; stratify the environment; and detect the most important factors for the genotype by environment (GxE) interaction in northeastern Brazil. Nineteen experiments were conducted in a randomized block design with three replications during the rainy growing season at 11 locations in the States of Pernambuco, Alagoas, Sergipe, and Bahia in 2009 and 2010. In each experiment, 16 "carioca" seeded lines were evaluated, and the grain yield, assessed. Data were subjected to analyses of variance and adaptability and stability by the methodologies of Annicchiarico and Additive Main Effects and Multiplicative Interactions (AMMI), analysis of the factors for environmental stratification and joint analysis with decomposition of the GxE interaction in genotype by year and genotype by location. According to the AMMI method, BRS Estilo and CNFC 11951 were selected as stable high-yielding lines. CNFC 11954, IPR Juriti, CNFC 11948 and BRS Estilo were identified as stable high-yielding lines based on the methodology of Annicchiarico. BRS Estilo was identified as stable according to both methodologies and was therefore considered suitable for growth in the Northeast region for use as a parent line in regional breeding programs. The locations in this region used to test the common bean lines were informative, except Carira, which could be eliminated from the assay network. Interact... Mostrar Tudo |
Palavras-Chave: |
Estabilidade; Estratificação ambiental; Região Nordeste. |
Thesagro: |
Feijão; Grão; Melhoramento genético vegetal; Phaseolus vulgaris; Produtividade. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171320/1/CNPAF-2016-sca.pdf
|
Marc: |
LEADER 02627naa a2200301 a 4500 001 2085786 005 2018-01-18 008 2016 bl uuuu u00u1 u #d 024 7 $a10.5433/1679-0359.2016v37n4p1745$2DOI 100 1 $aPEREIRA, H. S. 245 $aGenotype by environment interaction of "carioca" seeded common bean advanced lines in northeastern Brazil.$h[electronic resource] 260 $c2016 520 $aThe objectives of the present work were to identify common bean lines with high grain yield, adaptability and stability; stratify the environment; and detect the most important factors for the genotype by environment (GxE) interaction in northeastern Brazil. Nineteen experiments were conducted in a randomized block design with three replications during the rainy growing season at 11 locations in the States of Pernambuco, Alagoas, Sergipe, and Bahia in 2009 and 2010. In each experiment, 16 "carioca" seeded lines were evaluated, and the grain yield, assessed. Data were subjected to analyses of variance and adaptability and stability by the methodologies of Annicchiarico and Additive Main Effects and Multiplicative Interactions (AMMI), analysis of the factors for environmental stratification and joint analysis with decomposition of the GxE interaction in genotype by year and genotype by location. According to the AMMI method, BRS Estilo and CNFC 11951 were selected as stable high-yielding lines. CNFC 11954, IPR Juriti, CNFC 11948 and BRS Estilo were identified as stable high-yielding lines based on the methodology of Annicchiarico. BRS Estilo was identified as stable according to both methodologies and was therefore considered suitable for growth in the Northeast region for use as a parent line in regional breeding programs. The locations in this region used to test the common bean lines were informative, except Carira, which could be eliminated from the assay network. Interaction among genotypes, locations and years were observed, suggesting that assessments shoud be conducted at the largest number of locations and years, in this order of importance. 650 $aFeijão 650 $aGrão 650 $aMelhoramento genético vegetal 650 $aPhaseolus vulgaris 650 $aProdutividade 653 $aEstabilidade 653 $aEstratificação ambiental 653 $aRegião Nordeste 700 1 $aALVARES, R. C. 700 1 $aMELO, L. C. 700 1 $aCOSTA, A. F. da 700 1 $aCARVALHO, H. W. L. de 700 1 $aFARIA, L. C. de 700 1 $aSOUZA, T. L. P. O. de 773 $tSemina: Ciências Agrárias, Londrina$gv. 37, n. 4, p. 1745-1756, jul./ago. 2016.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|