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Artigo de periodico
Robust bayesian approach for AR(p) models applied to streamflow forecasting (2004)
Barreto, Guilherme de Alencar; Andrade, Marinho Gomes de
Source: Journal of Applied Statistical Science. Unidade: ICMC
Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de Alencar e ANDRADE, Marinho Gomes de. Robust bayesian approach for AR(p) models applied to streamflow forecasting. Journal of Applied Statistical Science, v. 13, n. 3, p. 269-292, 2004Tradução . . Acesso em: 10 nov. 2024.
APA
Barreto, G. de A., & Andrade, M. G. de. (2004). Robust bayesian approach for AR(p) models applied to streamflow forecasting. Journal of Applied Statistical Science, 13( 3), 269-292.
NLM
Barreto G de A, Andrade MG de. Robust bayesian approach for AR(p) models applied to streamflow forecasting. Journal of Applied Statistical Science. 2004 ; 13( 3): 269-292.[citado 2024 nov. 10 ]
Vancouver
Barreto G de A, Andrade MG de. Robust bayesian approach for AR(p) models applied to streamflow forecasting. Journal of Applied Statistical Science. 2004 ; 13( 3): 269-292.[citado 2024 nov. 10 ]
Artigo de periodico
A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case (2003)
Barreto, Guilherme de Alencar; Araújo, Aluizio Fausto Ribeiro; Kremer, Stefan C.
Source: Neural Computation. Unidade: EESC
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de Alencar e ARAÚJO, Aluizio Fausto Ribeiro e KREMER, Stefan C. A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case. Neural Computation, v. 15, n. 6, p. 46 , 2003Tradução . . Disponível em: http://neco.mitpress.org/cgi/content/full/15/6/1255. Acesso em: 10 nov. 2024.
APA
Barreto, G. de A., Araújo, A. F. R., & Kremer, S. C. (2003). A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case. Neural Computation, 15( 6), 46 . Recuperado de http://neco.mitpress.org/cgi/content/full/15/6/1255
NLM
Barreto G de A, Araújo AFR, Kremer SC. A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case [Internet]. Neural Computation. 2003 ; 15( 6): 46 .[citado 2024 nov. 10 ] Available from: http://neco.mitpress.org/cgi/content/full/15/6/1255
Vancouver
Barreto G de A, Araújo AFR, Kremer SC. A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case [Internet]. Neural Computation. 2003 ; 15( 6): 46 .[citado 2024 nov. 10 ] Available from: http://neco.mitpress.org/cgi/content/full/15/6/1255
Artigo de periodico
Self-organizing feature maps for modeling and control of robotic manipulators (2003)
Barreto, Guilherme de Alencar; Araújo, Aluizio Fausto Ribeiro; Ritter, Helge J.
Source: Journal of Intelligent and Robotic Systems. Unidade: EESC
Assunto: MANIPULADORES (CONTROLE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de Alencar e ARAÚJO, Aluizio Fausto Ribeiro e RITTER, Helge J. Self-organizing feature maps for modeling and control of robotic manipulators. Journal of Intelligent and Robotic Systems, v. 36, n. 4, p. 407-450, 2003Tradução . . Disponível em: http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf. Acesso em: 10 nov. 2024.
APA
Barreto, G. de A., Araújo, A. F. R., & Ritter, H. J. (2003). Self-organizing feature maps for modeling and control of robotic manipulators. Journal of Intelligent and Robotic Systems, 36( 4), 407-450. Recuperado de http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf
NLM
Barreto G de A, Araújo AFR, Ritter HJ. Self-organizing feature maps for modeling and control of robotic manipulators [Internet]. Journal of Intelligent and Robotic Systems. 2003 ; 36( 4): 407-450.[citado 2024 nov. 10 ] Available from: http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf
Vancouver
Barreto G de A, Araújo AFR, Ritter HJ. Self-organizing feature maps for modeling and control of robotic manipulators [Internet]. Journal of Intelligent and Robotic Systems. 2003 ; 36( 4): 407-450.[citado 2024 nov. 10 ] Available from: http://ipsapp009.kluweronline.com/content/search/4855/66/8/fulltext.pdf
Artigo de periodico
Context in temporal sequence processing: a self-organizing approach and its application to robotics (2002)
Araújo, Aluízio Fausto Ribeiro; Barreto, Guilherme de Alencar
Source: IEEE Transactions on Neural Networks. Unidade: EESC
Subjects: REDES NEURAIS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Aluízio Fausto Ribeiro e BARRETO, Guilherme de Alencar. Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Transactions on Neural Networks, v. 13, n. Ja 2002, p. 45-57, 2002Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/e46ab60c-9f83-4fb6-b681-c1ae9432f544/prod_427_sysno_1233337%20%281%29.pdf. Acesso em: 10 nov. 2024.
APA
Araújo, A. F. R., & Barreto, G. de A. (2002). Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Transactions on Neural Networks, 13( Ja 2002), 45-57. Recuperado de https://repositorio.usp.br/directbitstream/e46ab60c-9f83-4fb6-b681-c1ae9432f544/prod_427_sysno_1233337%20%281%29.pdf
NLM
Araújo AFR, Barreto G de A. Context in temporal sequence processing: a self-organizing approach and its application to robotics [Internet]. IEEE Transactions on Neural Networks. 2002 ; 13( Ja 2002): 45-57.[citado 2024 nov. 10 ] Available from: https://repositorio.usp.br/directbitstream/e46ab60c-9f83-4fb6-b681-c1ae9432f544/prod_427_sysno_1233337%20%281%29.pdf
Vancouver
Araújo AFR, Barreto G de A. Context in temporal sequence processing: a self-organizing approach and its application to robotics [Internet]. IEEE Transactions on Neural Networks. 2002 ; 13( Ja 2002): 45-57.[citado 2024 nov. 10 ] Available from: https://repositorio.usp.br/directbitstream/e46ab60c-9f83-4fb6-b681-c1ae9432f544/prod_427_sysno_1233337%20%281%29.pdf
Artigo de periodico
A self-organizing context-based approach to the tracking of multiple robot trajactories (2002)
Araújo, Aluízio Fausto Ribeiro; Barreto, Guilherme de Alencar
Source: Applied Intelligence. Unidade: EESC
Subjects: REDES NEURAIS, CONTROLADORES PROGRAMÁVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Aluízio Fausto Ribeiro e BARRETO, Guilherme de Alencar. A self-organizing context-based approach to the tracking of multiple robot trajactories. Applied Intelligence, v. 17, n. 1, p. 99-116, 2002Tradução . . Disponível em: http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894. Acesso em: 10 nov. 2024.
APA
Araújo, A. F. R., & Barreto, G. de A. (2002). A self-organizing context-based approach to the tracking of multiple robot trajactories. Applied Intelligence, 17( 1), 99-116. Recuperado de http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894
NLM
Araújo AFR, Barreto G de A. A self-organizing context-based approach to the tracking of multiple robot trajactories [Internet]. Applied Intelligence. 2002 ; 17( 1): 99-116.[citado 2024 nov. 10 ] Available from: http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894
Vancouver
Araújo AFR, Barreto G de A. A self-organizing context-based approach to the tracking of multiple robot trajactories [Internet]. Applied Intelligence. 2002 ; 17( 1): 99-116.[citado 2024 nov. 10 ] Available from: http://200.179.60.195:8590/?sp.nextform=mainfrm.htm&sp.usernumber.p=644894
Artigo de periodico
Time in self-organizing maps: an overview of models (2001)
Barreto, Guilherme de Alencar; Araújo, Aluizio Fausto Ribeiro
Source: International Journal of Computer Research. Unidade: EESC
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de Alencar e ARAÚJO, Aluizio Fausto Ribeiro. Time in self-organizing maps: an overview of models. International Journal of Computer Research, v. 10, n. 2, p. 139-179, 2001Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/01f6131e-43fd-4c52-8cdb-c8710b0882bc/prod_000671_sysno_1231293.pdf. Acesso em: 10 nov. 2024.
APA
Barreto, G. de A., & Araújo, A. F. R. (2001). Time in self-organizing maps: an overview of models. International Journal of Computer Research, 10( 2), 139-179. Recuperado de https://repositorio.usp.br/directbitstream/01f6131e-43fd-4c52-8cdb-c8710b0882bc/prod_000671_sysno_1231293.pdf
NLM
Barreto G de A, Araújo AFR. Time in self-organizing maps: an overview of models [Internet]. International Journal of Computer Research. 2001 ; 10( 2): 139-179.[citado 2024 nov. 10 ] Available from: https://repositorio.usp.br/directbitstream/01f6131e-43fd-4c52-8cdb-c8710b0882bc/prod_000671_sysno_1231293.pdf
Vancouver
Barreto G de A, Araújo AFR. Time in self-organizing maps: an overview of models [Internet]. International Journal of Computer Research. 2001 ; 10( 2): 139-179.[citado 2024 nov. 10 ] Available from: https://repositorio.usp.br/directbitstream/01f6131e-43fd-4c52-8cdb-c8710b0882bc/prod_000671_sysno_1231293.pdf
Trabalho de evento
A distributed robotic control system based on a temporal self-organizing neural network (2001)
Barreto, Guilherme de Alencar; Araújo, Aluizio Fausto Ribeiro; Dücker, Christof; Ritter, Helge
Source: Proceedings. Conference titles: IEEE SMC 2001 Conference. Unidade: EESC
Subjects: REDES NEURAIS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de Alencar et al. A distributed robotic control system based on a temporal self-organizing neural network. 2001, Anais.. Tucson: IEEE, 2001. Disponível em: https://repositorio.usp.br/directbitstream/de572bad-a8ae-4ccb-b527-20ac470862cc/prod_000658_sysno_1231182%20%281%29.pdf. Acesso em: 10 nov. 2024.
APA
Barreto, G. de A., Araújo, A. F. R., Dücker, C., & Ritter, H. (2001). A distributed robotic control system based on a temporal self-organizing neural network. In Proceedings. Tucson: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/de572bad-a8ae-4ccb-b527-20ac470862cc/prod_000658_sysno_1231182%20%281%29.pdf
NLM
Barreto G de A, Araújo AFR, Dücker C, Ritter H. A distributed robotic control system based on a temporal self-organizing neural network [Internet]. Proceedings. 2001 ;[citado 2024 nov. 10 ] Available from: https://repositorio.usp.br/directbitstream/de572bad-a8ae-4ccb-b527-20ac470862cc/prod_000658_sysno_1231182%20%281%29.pdf
Vancouver
Barreto G de A, Araújo AFR, Dücker C, Ritter H. A distributed robotic control system based on a temporal self-organizing neural network [Internet]. Proceedings. 2001 ;[citado 2024 nov. 10 ] Available from: https://repositorio.usp.br/directbitstream/de572bad-a8ae-4ccb-b527-20ac470862cc/prod_000658_sysno_1231182%20%281%29.pdf

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