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18. | | DOORENBOS, J.; KASSAM, A. H.; BENTVELSEN, C. L. M.; BRANSCHEID, V.; PLUSJÉ, J. M. G. A.; SMITH, M.; UITTENBOGAARD, G. O.; VAN DER VAL, H. K. Efectos del agua sobre el rendimiento de los cultivos. Roma: FAO, 1986. 212 p. (Estudio FAO: Riego y Drenaje, 33). Biblioteca(s): Embrapa Agropecuária Oeste. |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
06/04/2005 |
Data da última atualização: |
11/09/2007 |
Autoria: |
MUCHERONI, M. L.; CRUVINEL, P. E. |
Título: |
Chaos and self-organizing brain. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
In: TORRES, G.L.; ABE, J.M.; MUCHERONI, M.L.; CRUVINEL, P.E. (Ed.). Advances in intelligent systems and robotics. IOS Press, 2003. p. 163-170. |
Série: |
(Frontiers in Artificial Intelligence and Applications, 101) |
Idioma: |
Inglês |
Notas: |
Originalmente apresentado como 4th Congress of Logic Applied to Technology - LAPTEC 2003. |
Conteúdo: |
There are some evidences that indicate the critical self- organization of the Brain, which may give the origin of the complete and complcx neuronal modcling for studies. This work prcsents a model, which is both analyzed under a detailed point of view of such evidences and associated with a critical self-organizing critcria bascd on the crossed entropy having several input functions availablc in a matrix formo This arrangemcnt allows a more sustainable context, sincc it is related to thc cortex of a human bcing. AIso, for thc learning proccss and adaptive conncctions a set of basic functions is includcd as part of the purpose, which consider thc generalization of thc uses of thc Bayesian solutions for a typical sandpile problem to other applications. |
Palavras-Chave: |
Chaos; Inteligência Artificial. |
Thesagro: |
Cérebro. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01464naa a2200193 a 4500 001 1028934 005 2007-09-11 008 2003 bl --- 0-- u #d 100 1 $aMUCHERONI, M. L. 245 $aChaos and self-organizing brain. 260 $c2003 490 $a(Frontiers in Artificial Intelligence and Applications, 101) 500 $aOriginalmente apresentado como 4th Congress of Logic Applied to Technology - LAPTEC 2003. 520 $aThere are some evidences that indicate the critical self- organization of the Brain, which may give the origin of the complete and complcx neuronal modcling for studies. This work prcsents a model, which is both analyzed under a detailed point of view of such evidences and associated with a critical self-organizing critcria bascd on the crossed entropy having several input functions availablc in a matrix formo This arrangemcnt allows a more sustainable context, sincc it is related to thc cortex of a human bcing. AIso, for thc learning proccss and adaptive conncctions a set of basic functions is includcd as part of the purpose, which consider thc generalization of thc uses of thc Bayesian solutions for a typical sandpile problem to other applications. 650 $aCérebro 653 $aChaos 653 $aInteligência Artificial 700 1 $aCRUVINEL, P. E. 773 $tIn: TORRES, G.L.; ABE, J.M.; MUCHERONI, M.L.; CRUVINEL, P.E. (Ed.). Advances in intelligent systems and robotics. IOS Press, 2003. p. 163-170.
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