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Artigo de periodico
Adaptive genetic algorithms for dynamic channel assignment in mobile cellular communication systems (2007)
Lima, Marcos Antonio Cardoso de; Araújo, Aluízio Fausto Ribeiro; César, Amílcar Careli
Source: IEEE Transactions on Vehicular Technology. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, SISTEMA DE COMUNICAÇÃO
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ABNT
LIMA, Marcos Antonio Cardoso de e ARAÚJO, Aluízio Fausto Ribeiro e CÉSAR, Amílcar Careli. Adaptive genetic algorithms for dynamic channel assignment in mobile cellular communication systems. IEEE Transactions on Vehicular Technology, v. 56, n. 5, p. Se 2007, 2007Tradução . . Disponível em: http://ieeexplore.ieee.org/iel5/25/4305473/04305518.pdf?isnumber=4305473&prod=JNL&arnumber=4305518&arSt=2685&ared=2696&arAuthor=Lima%2C+M.+A.+C.%3B+Araujo%2C+A.+F.+R.%3B+Cesar%2C+A.+C. Acesso em: 21 ago. 2024.
APA
Lima, M. A. C. de, Araújo, A. F. R., & César, A. C. (2007). Adaptive genetic algorithms for dynamic channel assignment in mobile cellular communication systems. IEEE Transactions on Vehicular Technology, 56( 5), Se 2007. Recuperado de http://ieeexplore.ieee.org/iel5/25/4305473/04305518.pdf?isnumber=4305473&prod=JNL&arnumber=4305518&arSt=2685&ared=2696&arAuthor=Lima%2C+M.+A.+C.%3B+Araujo%2C+A.+F.+R.%3B+Cesar%2C+A.+C.
NLM
Lima MAC de, Araújo AFR, César AC. Adaptive genetic algorithms for dynamic channel assignment in mobile cellular communication systems [Internet]. IEEE Transactions on Vehicular Technology. 2007 ; 56( 5): Se 2007.[citado 2024 ago. 21 ] Available from: http://ieeexplore.ieee.org/iel5/25/4305473/04305518.pdf?isnumber=4305473&prod=JNL&arnumber=4305518&arSt=2685&ared=2696&arAuthor=Lima%2C+M.+A.+C.%3B+Araujo%2C+A.+F.+R.%3B+Cesar%2C+A.+C.
Vancouver
Lima MAC de, Araújo AFR, César AC. Adaptive genetic algorithms for dynamic channel assignment in mobile cellular communication systems [Internet]. IEEE Transactions on Vehicular Technology. 2007 ; 56( 5): Se 2007.[citado 2024 ago. 21 ] Available from: http://ieeexplore.ieee.org/iel5/25/4305473/04305518.pdf?isnumber=4305473&prod=JNL&arnumber=4305518&arSt=2685&ared=2696&arAuthor=Lima%2C+M.+A.+C.%3B+Araujo%2C+A.+F.+R.%3B+Cesar%2C+A.+C.
Trabalho de evento
A self-organizing state trajectory planner applied to an anthropomorphic robot hand (2007)
Benante, Ruben Carlo; Pedro, Leonardo Marquez; Massaro, Leandro Cuenca; Belini, Valdinei Luis; Araújo, Aluízio Fausto Ribeiro; Caurin, Glauco Augusto de Paula
Conference titles: IEEE/RSJ International Conference on Intelligent Robots and Systems. Unidade: EESC
Subjects: ROBÓTICA, MÃO, ALGORITMOS
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ABNT
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: 21 ago. 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 ago. 21 ]
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 ago. 21 ]
Trabalho de evento
Operation policies for hydropower systems: using the unsupervised SONARX neural network (2004)
Sacchi, Rodrigo; Carneiro, Adriano Alber de França Mendes; Araújo, Aluízio Fausto Ribeiro
Conference titles: IEEE PES Power Systems Conference and Exposition. Unidade: EESC
Subjects: GERAÇÃO DE ENERGIA ELÉTRICA, SISTEMAS DINÂMICOS, REDES NEURAIS, OTIMIZAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 2024.
APA
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.
NLM
Sacchi R, Carneiro AA de FM, Araújo AFR. Operation policies for hydropower systems: using the unsupervised SONARX neural network. 2004 ;[citado 2024 ago. 21 ]
Vancouver
Sacchi R, Carneiro AA de FM, Araújo AFR. Operation policies for hydropower systems: using the unsupervised SONARX neural network. 2004 ;[citado 2024 ago. 21 ]
Trabalho de evento
Optical network optimization with transmission impairments based on genetic algorithm (2003)
Lima, Marcos Antonio Cardoso de; César, Amílcar Careli; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: International Microwave and Optoelectronics Conference. Unidade: EESC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO NÃO LINEAR, REDES NEURAIS, ÓPTICA ELETRÔNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ]
Vancouver
Lima MAC de, César AC, Araújo AFR. Optical network optimization with transmission impairments based on genetic algorithm. Proceedings. 2003 ;[citado 2024 ago. 21 ]
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/e46ab60c-9f83-4fb6-b681-c1ae9432f544/prod_427_sysno_1233337%20%281%29.pdf
Artigo de periodico
Unsupervised learning and temporal context to recall complex robot trajectories (2001)
Barreto, Guilherme de A.; Araújo, Aluízio Fausto Ribeiro
Source: International Journal of Neural Systems. Unidade: EESC
Subjects: REDES NEURAIS, ROBÔS, TRAJETÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de A. e ARAÚJO, Aluízio Fausto Ribeiro. Unsupervised learning and temporal context to recall complex robot trajectories. International Journal of Neural Systems, v. 11, n. 1, p. 11-22, 2001Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf. Acesso em: 21 ago. 2024.
APA
Barreto, G. de A., & Araújo, A. F. R. (2001). Unsupervised learning and temporal context to recall complex robot trajectories. International Journal of Neural Systems, 11( 1), 11-22. Recuperado de https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf
NLM
Barreto G de A, Araújo AFR. Unsupervised learning and temporal context to recall complex robot trajectories [Internet]. International Journal of Neural Systems. 2001 ; 11( 1): 11-22.[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf
Vancouver
Barreto G de A, Araújo AFR. Unsupervised learning and temporal context to recall complex robot trajectories [Internet]. International Journal of Neural Systems. 2001 ; 11( 1): 11-22.[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf
Trabalho de evento
Clustering exploratory activity in an elevated plus-maze with neural networks (2000)
Henriques, André S.; Araújo, Aluízio Fausto Ribeiro; Morato, Sílvio
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks. Unidades: EESC, FFCLRP
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HENRIQUES, André S. e ARAÚJO, Aluízio Fausto Ribeiro e MORATO, Sílvio. Clustering exploratory activity in an elevated plus-maze with neural networks. 2000, Anais.. Los Alamitos: IEEE Computer Science, 2000. . Acesso em: 21 ago. 2024.
APA
Henriques, A. S., Araújo, A. F. R., & Morato, S. (2000). Clustering exploratory activity in an elevated plus-maze with neural networks. In Proceedings. Los Alamitos: IEEE Computer Science.
NLM
Henriques AS, Araújo AFR, Morato S. Clustering exploratory activity in an elevated plus-maze with neural networks. Proceedings. 2000 ;[citado 2024 ago. 21 ]
Vancouver
Henriques AS, Araújo AFR, Morato S. Clustering exploratory activity in an elevated plus-maze with neural networks. Proceedings. 2000 ;[citado 2024 ago. 21 ]
Trabalho de evento
Storage and recall of complex temporal sequences through a contextually guided self-organizing neural network (2000)
Barreto, Guilherme de A; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro. Storage and recall of complex temporal sequences through a contextually guided self-organizing neural network. 2000, Anais.. Los Alamitos, California: IEEE Computer Society, 2000. Disponível em: https://repositorio.usp.br/directbitstream/bfa7d3b5-3af7-4c26-b34a-82e87e06b04f/prod_000668_sysno_1124204%20%282%29.pdf. Acesso em: 21 ago. 2024.
APA
Barreto, G. de A., & Araújo, A. F. R. (2000). Storage and recall of complex temporal sequences through a contextually guided self-organizing neural network. In Proceedings. Los Alamitos, California: IEEE Computer Society. Recuperado de https://repositorio.usp.br/directbitstream/bfa7d3b5-3af7-4c26-b34a-82e87e06b04f/prod_000668_sysno_1124204%20%282%29.pdf
NLM
Barreto G de A, Araújo AFR. Storage and recall of complex temporal sequences through a contextually guided self-organizing neural network [Internet]. Proceedings. 2000 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/bfa7d3b5-3af7-4c26-b34a-82e87e06b04f/prod_000668_sysno_1124204%20%282%29.pdf
Vancouver
Barreto G de A, Araújo AFR. Storage and recall of complex temporal sequences through a contextually guided self-organizing neural network [Internet]. Proceedings. 2000 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/bfa7d3b5-3af7-4c26-b34a-82e87e06b04f/prod_000668_sysno_1124204%20%282%29.pdf
Trabalho de evento
Unsupervised context-based learning of multiple temporal sequences (1999)
Barreto, Guilherme de A.; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/e9080950-81d3-4b0c-84b7-5109ff677429/prod_000673_sysno_1067203%20%282%29.pdf
Trabalho de evento
Neural network system based on associative memory to perform trajetory generation and inverse kinematics (1998)
Vieira, Marcelo; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Marcelo e ARAÚJO, Aluízio Fausto Ribeiro. Neural network system based on associative memory to perform trajetory generation and inverse kinematics. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. . Acesso em: 21 ago. 2024.
APA
Vieira, M., & Araújo, A. F. R. (1998). Neural network system based on associative memory to perform trajetory generation and inverse kinematics. In Proceedings. Anaheim: IASTED/ACTA.
NLM
Vieira M, Araújo AFR. Neural network system based on associative memory to perform trajetory generation and inverse kinematics. Proceedings. 1998 ;[citado 2024 ago. 21 ]
Vancouver
Vieira M, Araújo AFR. Neural network system based on associative memory to perform trajetory generation and inverse kinematics. Proceedings. 1998 ;[citado 2024 ago. 21 ]
Trabalho de evento
Contex and scale influencing clustering through unsupervised neural networks (1998)
Henriques, André S; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: Brazilian Symposium on Neural Networks. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HENRIQUES, André S e ARAÚJO, Aluízio Fausto Ribeiro. Contex and scale influencing clustering through unsupervised neural networks. 1998, Anais.. Los Alamitos: IEEE Computer Society, 1998. . Acesso em: 21 ago. 2024.
APA
Henriques, A. S., & Araújo, A. F. R. (1998). Contex and scale influencing clustering through unsupervised neural networks. In Proceedings. Los Alamitos: IEEE Computer Society.
NLM
Henriques AS, Araújo AFR. Contex and scale influencing clustering through unsupervised neural networks. Proceedings. 1998 ;[citado 2024 ago. 21 ]
Vancouver
Henriques AS, Araújo AFR. Contex and scale influencing clustering through unsupervised neural networks. Proceedings. 1998 ;[citado 2024 ago. 21 ]
Trabalho de evento
The role of excitatory and inhibitory learning in EXIN networks (1998)
Barreto, Guilherme de A; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/a07db4df-a608-4a92-9594-86ab1a18291a/prod_000667_sysno_1010780.pdf
Trabalho de evento
Grasping objects of arbitrary shape (1998)
Valente, Carlos M O; Schammass, Alexandre; Caurin, Glauco A P; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: International Conference Modelling and Simulation. Unidade: EESC
Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALENTE, Carlos M O et al. Grasping objects of arbitrary shape. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. . Acesso em: 21 ago. 2024.
APA
Valente, C. M. O., Schammass, A., Caurin, G. A. P., & Araújo, A. F. R. (1998). Grasping objects of arbitrary shape. In Proceedings. Anaheim: IASTED/ACTA.
NLM
Valente CMO, Schammass A, Caurin GAP, Araújo AFR. Grasping objects of arbitrary shape. Proceedings. 1998 ;[citado 2024 ago. 21 ]
Vancouver
Valente CMO, Schammass A, Caurin GAP, Araújo AFR. Grasping objects of arbitrary shape. Proceedings. 1998 ;[citado 2024 ago. 21 ]
Trabalho de evento
Improving the perforce of differential competitive learning model in clustering tasks (1998)
Barreto, Guilherme de A; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC
Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro. Improving the perforce of differential competitive learning model in clustering tasks. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. Disponível em: https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf. Acesso em: 21 ago. 2024.
APA
Barreto, G. de A., & Araújo, A. F. R. (1998). Improving the perforce of differential competitive learning model in clustering tasks. In Proceedings. Anaheim: IASTED/ACTA. Recuperado de https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf
NLM
Barreto G de A, Araújo AFR. Improving the perforce of differential competitive learning model in clustering tasks [Internet]. Proceedings. 1998 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf
Vancouver
Barreto G de A, Araújo AFR. Improving the perforce of differential competitive learning model in clustering tasks [Internet]. Proceedings. 1998 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf
Trabalho de evento
Partially recurrent neural network for production of temporal sequence (1998)
Araújo, Aluízio Fausto Ribeiro; D'Arbo Junior, Hélio
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/722f484e-8343-41fc-9c22-cdf9997156dc/prod_0000448_sysno_1010776%20%281%29.pdf
Trabalho de evento
Associative memory used for trajectory generation and inverse kinematics problem (1998)
Araújo, Aluízio Fausto Ribeiro; Vieira, Marcelo
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/c8140460-7232-4eb2-81e9-0bddd1a2663c/prod_0000416_sysno_1010773.pdf
Trabalho de evento
A partially recurrent neural network to performan trajectory planning, inverse kinematics, and inverse dynamics [CD-ROM] (1998)
Araújo, Aluízio Fausto Ribeiro; D'Arbo Junior, Hélio
Source: Proceedings. Conference titles: IEEE International Conference on Systems, Man, and Cybernetics. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/e292d187-fad5-46ba-8f1d-be7f4f43c239/prod_0000449_sysno_1011412%20%281%29.pdf
Trabalho de evento
A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources (1998)
Barreto, Guilherme de A; Araújo, Aluízio Fausto Ribeiro; Rosa, Marcelo de O
Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC
Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro e ROSA, Marcelo de O. A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. Disponível em: https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf. Acesso em: 21 ago. 2024.
APA
Barreto, G. de A., Araújo, A. F. R., & Rosa, M. de O. (1998). A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources. In Proceedings. Anaheim: IASTED/ACTA. Recuperado de https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf
NLM
Barreto G de A, Araújo AFR, Rosa M de O. A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources [Internet]. Proceedings. 1998 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf
Vancouver
Barreto G de A, Araújo AFR, Rosa M de O. A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources [Internet]. Proceedings. 1998 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf
Trabalho de evento
Competitive and temporal Hebbian learning for production of robot trajectories (1998)
Barreto, Guilherme de A; Araújo, Aluízio Fausto Ribeiro
Source: Proceedings. Conference titles: Brazilian Symposium on Neural Networks. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro. Competitive and temporal Hebbian learning for production of robot trajectories. 1998, Anais.. Los Alamitos: IEEE Computer Society, 1998. Disponível em: https://repositorio.usp.br/directbitstream/3a83a9bc-b3a2-4435-8503-79e7531aec90/prod_000655_sysno_1011794%20%281%29.pdf. Acesso em: 21 ago. 2024.
APA
Barreto, G. de A., & Araújo, A. F. R. (1998). Competitive and temporal Hebbian learning for production of robot trajectories. In Proceedings. Los Alamitos: IEEE Computer Society. Recuperado de https://repositorio.usp.br/directbitstream/3a83a9bc-b3a2-4435-8503-79e7531aec90/prod_000655_sysno_1011794%20%281%29.pdf
NLM
Barreto G de A, Araújo AFR. Competitive and temporal Hebbian learning for production of robot trajectories [Internet]. Proceedings. 1998 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/3a83a9bc-b3a2-4435-8503-79e7531aec90/prod_000655_sysno_1011794%20%281%29.pdf
Vancouver
Barreto G de A, Araújo AFR. Competitive and temporal Hebbian learning for production of robot trajectories [Internet]. Proceedings. 1998 ;[citado 2024 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/3a83a9bc-b3a2-4435-8503-79e7531aec90/prod_000655_sysno_1011794%20%281%29.pdf
Trabalho de evento
Reward-penalty reiforcement learning scheme for planning and reactive behavior [CD-ROM] (1998)
Araújo, Aluízio Fausto Ribeiro; Braga, Arthur P S.
Source: Proceedings. Conference titles: IEEE International Conference on Systems, Man, and Cybernetics. Unidade: EESC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 21 ago. 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 ago. 21 ] 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 ago. 21 ] Available from: https://repositorio.usp.br/directbitstream/ea8d2b97-0ff4-415a-92b8-1e7950a90632/prod_0000452_sysno_1011434.pdf

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