Filtros : "Araújo, Aluízio Fausto Ribeiro" "IEEE" Removidos: "2012"¬Filter[2]=author.person.name:"Bernardes, Maria Eliza Mattosinho"¬Filter[3]=USP.indexacao:"Indexado no: Clase"¬Filter[]="1996" "1928" "IQ-QBQ" " FCF003" Limpar

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  • Conference titles: IEEE/RSJ International Conference on Intelligent Robots and Systems. Unidade: EESC

    Subjects: ROBÓTICA, MÃO, ALGORITMOS

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      BENANTE, Ruben Carlo et al. A self-organizing state trajectory planner applied to an anthropomorphic robot hand. 2007, Anais.. New York: IEEE, 2007. . Acesso em: 08 jun. 2024.
    • APA

      Benante, R. C., Pedro, L. M., Massaro, L. C., Belini, V. L., Araújo, A. F. R., & Caurin, G. A. de P. (2007). A self-organizing state trajectory planner applied to an anthropomorphic robot hand. In . New York: IEEE.
    • NLM

      Benante RC, Pedro LM, Massaro LC, Belini VL, Araújo AFR, Caurin GA de P. A self-organizing state trajectory planner applied to an anthropomorphic robot hand. 2007 ;[citado 2024 jun. 08 ]
    • Vancouver

      Benante RC, Pedro LM, Massaro LC, Belini VL, Araújo AFR, Caurin GA de P. A self-organizing state trajectory planner applied to an anthropomorphic robot hand. 2007 ;[citado 2024 jun. 08 ]
  • Conference titles: IEEE PES Power Systems Conference and Exposition. Unidade: EESC

    Subjects: GERAÇÃO DE ENERGIA ELÉTRICA, SISTEMAS DINÂMICOS, REDES NEURAIS, OTIMIZAÇÃO MATEMÁTICA

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      SACCHI, Rodrigo e CARNEIRO, Adriano Alber de França Mendes e ARAÚJO, Aluízio Fausto Ribeiro. Operation policies for hydropower systems: using the unsupervised SONARX neural network. 2004, Anais.. New York City: IEEE, 2004. . Acesso em: 08 jun. 2024.
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      Sacchi, R., Carneiro, A. A. de F. M., & Araújo, A. F. R. (2004). Operation policies for hydropower systems: using the unsupervised SONARX neural network. In . New York City: IEEE.
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      Sacchi R, Carneiro AA de FM, Araújo AFR. Operation policies for hydropower systems: using the unsupervised SONARX neural network. 2004 ;[citado 2024 jun. 08 ]
    • Vancouver

      Sacchi R, Carneiro AA de FM, Araújo AFR. Operation policies for hydropower systems: using the unsupervised SONARX neural network. 2004 ;[citado 2024 jun. 08 ]
  • Source: Proceedings. Conference titles: International Microwave and Optoelectronics Conference. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO NÃO LINEAR, REDES NEURAIS, ÓPTICA ELETRÔNICA

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      LIMA, Marcos Antonio Cardoso de e CÉSAR, Amílcar Careli e ARAÚJO, Aluízio Fausto Ribeiro. Optical network optimization with transmission impairments based on genetic algorithm. 2003, Anais.. Piscataway, NJ: IEEE, 2003. . Acesso em: 08 jun. 2024.
    • APA

      Lima, M. A. C. de, César, A. C., & Araújo, A. F. R. (2003). Optical network optimization with transmission impairments based on genetic algorithm. In Proceedings. Piscataway, NJ: IEEE.
    • NLM

      Lima MAC de, César AC, Araújo AFR. Optical network optimization with transmission impairments based on genetic algorithm. Proceedings. 2003 ;[citado 2024 jun. 08 ]
    • Vancouver

      Lima MAC de, César AC, Araújo AFR. Optical network optimization with transmission impairments based on genetic algorithm. Proceedings. 2003 ;[citado 2024 jun. 08 ]
  • Source: Proceedings. Conference titles: IEEE International Conference on Systems, Man and Cybernetics. Unidade: EESC

    Subjects: MAPAS, REDES NEURAIS, CONTROLADORES PROGRAMÁVEIS

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      BRAGA, Arthur Plínio de Souza e ARAÚJO, Aluízio Fausto Ribeiro. Applying topological maps to accelerate reinforcement learning in mobile robot navigation. 2002, Anais.. Tunísia: IEEE, 2002. Disponível em: https://repositorio.usp.br/directbitstream/43921e85-7892-443f-80cd-9c1a4d100368/prod_000975_sysno_1318636.pdf. Acesso em: 08 jun. 2024.
    • APA

      Braga, A. P. de S., & Araújo, A. F. R. (2002). Applying topological maps to accelerate reinforcement learning in mobile robot navigation. In Proceedings. Tunísia: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/43921e85-7892-443f-80cd-9c1a4d100368/prod_000975_sysno_1318636.pdf
    • NLM

      Braga AP de S, Araújo AFR. Applying topological maps to accelerate reinforcement learning in mobile robot navigation [Internet]. Proceedings. 2002 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/43921e85-7892-443f-80cd-9c1a4d100368/prod_000975_sysno_1318636.pdf
    • Vancouver

      Braga AP de S, Araújo AFR. Applying topological maps to accelerate reinforcement learning in mobile robot navigation [Internet]. Proceedings. 2002 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/43921e85-7892-443f-80cd-9c1a4d100368/prod_000975_sysno_1318636.pdf
  • Source: Proceedings. Conference titles: International Joint Conference on Neural Networks. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BARRETO, Guilherme de A. e ARAÚJO, Aluízio Fausto Ribeiro. Unsupervised context-based learning of multiple temporal sequences. 1999, Anais.. New York: IEEE, 1999. Disponível em: https://repositorio.usp.br/directbitstream/e9080950-81d3-4b0c-84b7-5109ff677429/prod_000673_sysno_1067203%20%282%29.pdf. Acesso em: 08 jun. 2024.
    • APA

      Barreto, G. de A., & Araújo, A. F. R. (1999). Unsupervised context-based learning of multiple temporal sequences. In Proceedings. New York: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/e9080950-81d3-4b0c-84b7-5109ff677429/prod_000673_sysno_1067203%20%282%29.pdf
    • NLM

      Barreto G de A, Araújo AFR. Unsupervised context-based learning of multiple temporal sequences [Internet]. Proceedings. 1999 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/e9080950-81d3-4b0c-84b7-5109ff677429/prod_000673_sysno_1067203%20%282%29.pdf
    • Vancouver

      Barreto G de A, Araújo AFR. Unsupervised context-based learning of multiple temporal sequences [Internet]. Proceedings. 1999 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/e9080950-81d3-4b0c-84b7-5109ff677429/prod_000673_sysno_1067203%20%282%29.pdf
  • Source: Proceedings. Conference titles: International Conference on Digital Power System Simulations. Unidade: EESC

    Subjects: ELETRÔNICA DE POTÊNCIA, INTELIGÊNCIA ARTIFICIAL

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      SILVA FILHO, D. e CARNEIRO, Adriano Alber de França Mendes e ARAÚJO, Aluízio Fausto Ribeiro. A digital neural simulator for the energetic operation of hydroelectric power systems. 1999, Anais.. Västeras: IEEE, 1999. . Acesso em: 08 jun. 2024.
    • APA

      Silva Filho, D., Carneiro, A. A. de F. M., & Araújo, A. F. R. (1999). A digital neural simulator for the energetic operation of hydroelectric power systems. In Proceedings. Västeras: IEEE.
    • NLM

      Silva Filho D, Carneiro AA de FM, Araújo AFR. A digital neural simulator for the energetic operation of hydroelectric power systems. Proceedings. 1999 ;[citado 2024 jun. 08 ]
    • Vancouver

      Silva Filho D, Carneiro AA de FM, Araújo AFR. A digital neural simulator for the energetic operation of hydroelectric power systems. Proceedings. 1999 ;[citado 2024 jun. 08 ]
  • Conference titles: IEEE/RSJ International Conference on Intelligent Robots and Systems. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      VALENTE, C. M. O. et al. The role of the RBF training ina neural model for object grasping. 1999, Anais.. Kyongju: IEEE, 1999. . Acesso em: 08 jun. 2024.
    • APA

      Valente, C. M. O., Schammass, A., Araújo, A. F. R., & Caurin, G. A. P. (1999). The role of the RBF training ina neural model for object grasping. In . Kyongju: IEEE.
    • NLM

      Valente CMO, Schammass A, Araújo AFR, Caurin GAP. The role of the RBF training ina neural model for object grasping. 1999 ;[citado 2024 jun. 08 ]
    • Vancouver

      Valente CMO, Schammass A, Araújo AFR, Caurin GAP. The role of the RBF training ina neural model for object grasping. 1999 ;[citado 2024 jun. 08 ]
  • Conference titles: IEEE International Conference on Systems, Man and Cybernetics. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      VALENTE, C. M. O. et al. Intelligent grasping using neural modules. 1999, Anais.. Tokyo: IEEE, 1999. . Acesso em: 08 jun. 2024.
    • APA

      Valente, C. M. O., Schammass, A., Araújo, A. F. R., & Caurin, G. A. P. (1999). Intelligent grasping using neural modules. In . Tokyo: IEEE.
    • NLM

      Valente CMO, Schammass A, Araújo AFR, Caurin GAP. Intelligent grasping using neural modules. 1999 ;[citado 2024 jun. 08 ]
    • Vancouver

      Valente CMO, Schammass A, Araújo AFR, Caurin GAP. Intelligent grasping using neural modules. 1999 ;[citado 2024 jun. 08 ]
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro. The role of excitatory and inhibitory learning in EXIN networks. 1998, Anais.. Piscataway: IEEE, 1998. Disponível em: https://repositorio.usp.br/directbitstream/a07db4df-a608-4a92-9594-86ab1a18291a/prod_000667_sysno_1010780.pdf. Acesso em: 08 jun. 2024.
    • APA

      Barreto, G. de A., & Araújo, A. F. R. (1998). The role of excitatory and inhibitory learning in EXIN networks. In Proceedings. Piscataway: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/a07db4df-a608-4a92-9594-86ab1a18291a/prod_000667_sysno_1010780.pdf
    • NLM

      Barreto G de A, Araújo AFR. The role of excitatory and inhibitory learning in EXIN networks [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/a07db4df-a608-4a92-9594-86ab1a18291a/prod_000667_sysno_1010780.pdf
    • Vancouver

      Barreto G de A, Araújo AFR. The role of excitatory and inhibitory learning in EXIN networks [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/a07db4df-a608-4a92-9594-86ab1a18291a/prod_000667_sysno_1010780.pdf
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ARAÚJO, Aluízio Fausto Ribeiro e D'ARBO JUNIOR, Hélio. Partially recurrent neural network for production of temporal sequence. 1998, Anais.. Piscataway: IEEE, 1998. Disponível em: https://repositorio.usp.br/directbitstream/722f484e-8343-41fc-9c22-cdf9997156dc/prod_0000448_sysno_1010776%20%281%29.pdf. Acesso em: 08 jun. 2024.
    • APA

      Araújo, A. F. R., & D'Arbo Junior, H. (1998). Partially recurrent neural network for production of temporal sequence. In Proceedings. Piscataway: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/722f484e-8343-41fc-9c22-cdf9997156dc/prod_0000448_sysno_1010776%20%281%29.pdf
    • NLM

      Araújo AFR, D'Arbo Junior H. Partially recurrent neural network for production of temporal sequence [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/722f484e-8343-41fc-9c22-cdf9997156dc/prod_0000448_sysno_1010776%20%281%29.pdf
    • Vancouver

      Araújo AFR, D'Arbo Junior H. Partially recurrent neural network for production of temporal sequence [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/722f484e-8343-41fc-9c22-cdf9997156dc/prod_0000448_sysno_1010776%20%281%29.pdf
  • Source: Proceedings. Conference titles: IEEE International Conference on Systems, Man, and Cybernetics. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ARAÚJO, Aluízio Fausto Ribeiro e D'ARBO JUNIOR, Hélio. A partially recurrent neural network to performan trajectory planning, inverse kinematics, and inverse dynamics [CD-ROM]. 1998, Anais.. San Diego: IEEE, 1998. Disponível em: https://repositorio.usp.br/directbitstream/e292d187-fad5-46ba-8f1d-be7f4f43c239/prod_0000449_sysno_1011412%20%281%29.pdf. Acesso em: 08 jun. 2024.
    • APA

      Araújo, A. F. R., & D'Arbo Junior, H. (1998). A partially recurrent neural network to performan trajectory planning, inverse kinematics, and inverse dynamics [CD-ROM]. In Proceedings. San Diego: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/e292d187-fad5-46ba-8f1d-be7f4f43c239/prod_0000449_sysno_1011412%20%281%29.pdf
    • NLM

      Araújo AFR, D'Arbo Junior H. A partially recurrent neural network to performan trajectory planning, inverse kinematics, and inverse dynamics [CD-ROM] [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/e292d187-fad5-46ba-8f1d-be7f4f43c239/prod_0000449_sysno_1011412%20%281%29.pdf
    • Vancouver

      Araújo AFR, D'Arbo Junior H. A partially recurrent neural network to performan trajectory planning, inverse kinematics, and inverse dynamics [CD-ROM] [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/e292d187-fad5-46ba-8f1d-be7f4f43c239/prod_0000449_sysno_1011412%20%281%29.pdf
  • Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ARAÚJO, Aluízio Fausto Ribeiro e VIEIRA, Marcelo. Associative memory used for trajectory generation and inverse kinematics problem. 1998, Anais.. Piscataway: IEEE, 1998. Disponível em: https://repositorio.usp.br/directbitstream/c8140460-7232-4eb2-81e9-0bddd1a2663c/prod_0000416_sysno_1010773.pdf. Acesso em: 08 jun. 2024.
    • APA

      Araújo, A. F. R., & Vieira, M. (1998). Associative memory used for trajectory generation and inverse kinematics problem. In Proceedings. Piscataway: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/c8140460-7232-4eb2-81e9-0bddd1a2663c/prod_0000416_sysno_1010773.pdf
    • NLM

      Araújo AFR, Vieira M. Associative memory used for trajectory generation and inverse kinematics problem [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/c8140460-7232-4eb2-81e9-0bddd1a2663c/prod_0000416_sysno_1010773.pdf
    • Vancouver

      Araújo AFR, Vieira M. Associative memory used for trajectory generation and inverse kinematics problem [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/c8140460-7232-4eb2-81e9-0bddd1a2663c/prod_0000416_sysno_1010773.pdf
  • Source: Proceedings. Conference titles: IEEE International Conference on Systems, Man, and Cybernetics. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ARAÚJO, Aluízio Fausto Ribeiro e BRAGA, Arthur P S. Reward-penalty reiforcement learning scheme for planning and reactive behavior [CD-ROM]. 1998, Anais.. San Diego: IEEE, 1998. Disponível em: https://repositorio.usp.br/directbitstream/ea8d2b97-0ff4-415a-92b8-1e7950a90632/prod_0000452_sysno_1011434.pdf. Acesso em: 08 jun. 2024.
    • APA

      Araújo, A. F. R., & Braga, A. P. S. (1998). Reward-penalty reiforcement learning scheme for planning and reactive behavior [CD-ROM]. In Proceedings. San Diego: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/ea8d2b97-0ff4-415a-92b8-1e7950a90632/prod_0000452_sysno_1011434.pdf
    • NLM

      Araújo AFR, Braga APS. Reward-penalty reiforcement learning scheme for planning and reactive behavior [CD-ROM] [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/ea8d2b97-0ff4-415a-92b8-1e7950a90632/prod_0000452_sysno_1011434.pdf
    • Vancouver

      Araújo AFR, Braga APS. Reward-penalty reiforcement learning scheme for planning and reactive behavior [CD-ROM] [Internet]. Proceedings. 1998 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/ea8d2b97-0ff4-415a-92b8-1e7950a90632/prod_0000452_sysno_1011434.pdf
  • Source: Proceedings. Conference titles: IEEE International Conference on Neural Networks. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ARAÚJO, Aluízio Fausto Ribeiro e VIEIRA, Marcelo. Temporal multidirectional associative memory: adaptable, continuos, and self-connected MAM. 1997, Anais.. Piscataway: IEEE, 1997. Disponível em: https://repositorio.usp.br/directbitstream/68b81be1-2303-4bc7-ab92-5985ae43582e/prod_0000459_sysno_934586.pdf. Acesso em: 08 jun. 2024.
    • APA

      Araújo, A. F. R., & Vieira, M. (1997). Temporal multidirectional associative memory: adaptable, continuos, and self-connected MAM. In Proceedings. Piscataway: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/68b81be1-2303-4bc7-ab92-5985ae43582e/prod_0000459_sysno_934586.pdf
    • NLM

      Araújo AFR, Vieira M. Temporal multidirectional associative memory: adaptable, continuos, and self-connected MAM [Internet]. Proceedings. 1997 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/68b81be1-2303-4bc7-ab92-5985ae43582e/prod_0000459_sysno_934586.pdf
    • Vancouver

      Araújo AFR, Vieira M. Temporal multidirectional associative memory: adaptable, continuos, and self-connected MAM [Internet]. Proceedings. 1997 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/68b81be1-2303-4bc7-ab92-5985ae43582e/prod_0000459_sysno_934586.pdf
  • Source: Proceedings. Conference titles: IEEE International Conference on Neural Networks. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ARAÚJO, Aluízio Fausto Ribeiro e HAGA, Georves M. Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule. 1997, Anais.. Piscataway: IEEE, 1997. Disponível em: https://repositorio.usp.br/directbitstream/401cb3dd-1d35-4a5c-813c-f26ff484d0cf/prod_0000458_sysno_934590.pdf. Acesso em: 08 jun. 2024.
    • APA

      Araújo, A. F. R., & Haga, G. M. (1997). Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule. In Proceedings. Piscataway: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/401cb3dd-1d35-4a5c-813c-f26ff484d0cf/prod_0000458_sysno_934590.pdf
    • NLM

      Araújo AFR, Haga GM. Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule [Internet]. Proceedings. 1997 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/401cb3dd-1d35-4a5c-813c-f26ff484d0cf/prod_0000458_sysno_934590.pdf
    • Vancouver

      Araújo AFR, Haga GM. Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule [Internet]. Proceedings. 1997 ;[citado 2024 jun. 08 ] Available from: https://repositorio.usp.br/directbitstream/401cb3dd-1d35-4a5c-813c-f26ff484d0cf/prod_0000458_sysno_934590.pdf

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