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Artigo de periodico
Walking with perturbations: a guide for biped humans and robots (2018)
Duysens, Jacques ; Forner Cordero, Arturo
Source: Bioinspiration and Biomimetics. Unidade: EP
Subjects: MARCHA (LOCOMOÇÃO), ROBÔS, ROBÓTICA, REDES NEURAIS
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ABNT
DUYSENS, Jacques e FORNER CORDERO, Arturo. Walking with perturbations: a guide for biped humans and robots. Bioinspiration and Biomimetics, n. 6, p. Se 2018, 2018Tradução . . Disponível em: https://doi.org/10.1088/1748-3190. Acesso em: 06 ago. 2024.
APA
Duysens, J., & Forner Cordero, A. (2018). Walking with perturbations: a guide for biped humans and robots. Bioinspiration and Biomimetics, ( 6), Se 2018. doi:10.1088/1748-3190
NLM
Duysens J, Forner Cordero A. Walking with perturbations: a guide for biped humans and robots [Internet]. Bioinspiration and Biomimetics. 2018 ;( 6): Se 2018.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1088/1748-3190
Vancouver
Duysens J, Forner Cordero A. Walking with perturbations: a guide for biped humans and robots [Internet]. Bioinspiration and Biomimetics. 2018 ;( 6): Se 2018.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1088/1748-3190
Artigo de periodico
Graphical representation of cause-effect relationships among chemical process variables using a neural network approach (2010)
Almeida, Gustavo Matheus de ; Cardoso, Marcelo ; Rena, Danilo Castro; Park, Song Won
Source: International Journal of Computational Intelligence and Applications. Unidade: EP
Subjects: REDES NEURAIS, ANÁLISE DE DADOS
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ABNT
ALMEIDA, Gustavo Matheus de et al. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, v. 9, n. 1, p. 69-86, 2010Tradução . . Disponível em: https://doi.org/10.1142/S146902681000277X. Acesso em: 06 ago. 2024.
APA
Almeida, G. M. de, Cardoso, M., Rena, D. C., & Park, S. W. (2010). Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, 9( 1), 69-86. doi:10.1142/S146902681000277X
NLM
Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1142/S146902681000277X
Vancouver
Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1142/S146902681000277X
Artigo de periodico
Comparison between detailed model simulation and artificial neural network for forecasting building energy consuption (2008)
Hernandez Neto, Alberto ; Fiorelli, Flávio Augusto Sanzovo
Source: Energy and Buildings. Unidade: EP
Subjects: REDES NEURAIS, EDIFÍCIOS PARA PESQUISA, SUSTENTABILIDADE
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ABNT
HERNANDEZ NETO, Alberto e FIORELLI, Flávio Augusto Sanzovo. Comparison between detailed model simulation and artificial neural network for forecasting building energy consuption. Energy and Buildings, v. 40, p. 2169-2176, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.enbuild.2008.06.013. Acesso em: 06 ago. 2024.
APA
Hernandez Neto, A., & Fiorelli, F. A. S. (2008). Comparison between detailed model simulation and artificial neural network for forecasting building energy consuption. Energy and Buildings, 40, 2169-2176. doi:10.1016/j.enbuild.2008.06.013
NLM
Hernandez Neto A, Fiorelli FAS. Comparison between detailed model simulation and artificial neural network for forecasting building energy consuption [Internet]. Energy and Buildings. 2008 ; 40 2169-2176.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/j.enbuild.2008.06.013
Vancouver
Hernandez Neto A, Fiorelli FAS. Comparison between detailed model simulation and artificial neural network for forecasting building energy consuption [Internet]. Energy and Buildings. 2008 ; 40 2169-2176.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/j.enbuild.2008.06.013
Artigo de periodico
Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures (2005)
Del Moral Hernandez, Emilio
Source: Neural Networks. Unidade: EP
Assunto: REDES NEURAIS
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ABNT
DEL MORAL HERNANDEZ, Emilio. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures. Neural Networks, v. 18, n. 5-6, p. 532-540, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2005.06.035. Acesso em: 06 ago. 2024.
APA
Del Moral Hernandez, E. (2005). Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures. Neural Networks, 18( 5-6), 532-540. doi:10.1016/j.neunet.2005.06.035
NLM
Del Moral Hernandez E. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures [Internet]. Neural Networks. 2005 ;18( 5-6): 532-540.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035
Vancouver
Del Moral Hernandez E. Non-homogenous neural networks with chaotic recursive nodes: connectivity and multi-assemblies structures in recursive processing elements architectures [Internet]. Neural Networks. 2005 ;18( 5-6): 532-540.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035
Artigo de periodico
New approach for the prediction of azeotropy in binary systems (2003)
Alves, Rita Maria de Brito ; Quina, Frank Herbert ; Nascimento, Cláudio Augusto Oller do
Source: Computers and Chemical Engineering. Unidades: EP, IQ
Subjects: DESTILAÇÃO AZEOTRÓPICA, REDES NEURAIS, SISTEMA BINÁRIO
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ABNT
ALVES, Rita Maria de Brito e QUINA, Frank Herbert e NASCIMENTO, Cláudio Augusto Oller do. New approach for the prediction of azeotropy in binary systems. Computers and Chemical Engineering, v. 27, n. 12, p. 1755-1759, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0098-1354(03)00150-9. Acesso em: 06 ago. 2024.
APA
Alves, R. M. de B., Quina, F. H., & Nascimento, C. A. O. do. (2003). New approach for the prediction of azeotropy in binary systems. Computers and Chemical Engineering, 27( 12), 1755-1759. doi:10.1016/s0098-1354(03)00150-9
NLM
Alves RM de B, Quina FH, Nascimento CAO do. New approach for the prediction of azeotropy in binary systems [Internet]. Computers and Chemical Engineering. 2003 ;27( 12): 1755-1759.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/s0098-1354(03)00150-9
Vancouver
Alves RM de B, Quina FH, Nascimento CAO do. New approach for the prediction of azeotropy in binary systems [Internet]. Computers and Chemical Engineering. 2003 ;27( 12): 1755-1759.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/s0098-1354(03)00150-9
Artigo de periodico
Neural network with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs (2003)
Del Moral Hernandez, Emilio
Source: Neural Networks,. Unidade: EP
Assunto: REDES NEURAIS
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ABNT
DEL MORAL HERNANDEZ, Emilio. Neural network with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs. Neural Networks, v. 16, n. 5-6, p. 675-682, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0893-6080(03)00125-4. Acesso em: 06 ago. 2024.
APA
Del Moral Hernandez, E. (2003). Neural network with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs. Neural Networks,, 16( 5-6), 675-682. doi:10.1016/s0893-6080(03)00125-4
NLM
Del Moral Hernandez E. Neural network with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs [Internet]. Neural Networks,. 2003 ; 16( 5-6): 675-682.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/s0893-6080(03)00125-4
Vancouver
Del Moral Hernandez E. Neural network with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs [Internet]. Neural Networks,. 2003 ; 16( 5-6): 675-682.[citado 2024 ago. 06 ] Available from: https://doi.org/10.1016/s0893-6080(03)00125-4
Artigo de periodico
Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fenton reaction (2001)
Göb, Sabine; Bossmann, Stefan H.; Braun, André Maria; Oliveros, Esther; Nascimento, Cláudio Augusto Oller do ; Guardani, Roberto
Source: Water Science And Technology. Unidade: EP
Subjects: ESTATÍSTICA APLICADA, FOTOQUÍMICA, REDES NEURAIS
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ABNT
GÖB, Sabine et al. Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fenton reaction. Water Science And Technology, v. 44, n. 5, p. 339-345, 2001Tradução . . Disponível em: https://doi.org/10.2166/wst.2001.0321. Acesso em: 06 ago. 2024.
APA
Göb, S., Bossmann, S. H., Braun, A. M., Oliveros, E., Nascimento, C. A. O. do, & Guardani, R. (2001). Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fenton reaction. Water Science And Technology, 44( 5), 339-345. doi:10.2166/wst.2001.0321
NLM
Göb S, Bossmann SH, Braun AM, Oliveros E, Nascimento CAO do, Guardani R. Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fenton reaction [Internet]. Water Science And Technology. 2001 ; 44( 5): 339-345.[citado 2024 ago. 06 ] Available from: https://doi.org/10.2166/wst.2001.0321
Vancouver
Göb S, Bossmann SH, Braun AM, Oliveros E, Nascimento CAO do, Guardani R. Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fenton reaction [Internet]. Water Science And Technology. 2001 ; 44( 5): 339-345.[citado 2024 ago. 06 ] Available from: https://doi.org/10.2166/wst.2001.0321
Artigo de periodico
Optimization of the photochemically enhanced fenton oxidation of 2,5 - dimethylaniline applying artifical neural networks (2000)
Gob, Sabine; Oliveros, Esther; Bossmann, Stephan H.; Braun, André Maria; Guardani, Roberto ; Nascimento, Cláudio Augusto Oller do
Source: Journal of Information Recording. Unidade: EP
Subjects: POLUIÇÃO DA ÁGUA (PREVENÇÃO E CONTROLE), TRATAMENTO DE ÁGUAS RESIDUÁRIAS, REDES NEURAIS
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ABNT
GOB, Sabine et al. Optimization of the photochemically enhanced fenton oxidation of 2,5 - dimethylaniline applying artifical neural networks. Journal of Information Recording, v. 25, p. 447-454, 2000Tradução . . Acesso em: 06 ago. 2024.
APA
Gob, S., Oliveros, E., Bossmann, S. H., Braun, A. M., Guardani, R., & Nascimento, C. A. O. do. (2000). Optimization of the photochemically enhanced fenton oxidation of 2,5 - dimethylaniline applying artifical neural networks. Journal of Information Recording, 25, 447-454.
NLM
Gob S, Oliveros E, Bossmann SH, Braun AM, Guardani R, Nascimento CAO do. Optimization of the photochemically enhanced fenton oxidation of 2,5 - dimethylaniline applying artifical neural networks. Journal of Information Recording. 2000 ; 25 447-454.[citado 2024 ago. 06 ]
Vancouver
Gob S, Oliveros E, Bossmann SH, Braun AM, Guardani R, Nascimento CAO do. Optimization of the photochemically enhanced fenton oxidation of 2,5 - dimethylaniline applying artifical neural networks. Journal of Information Recording. 2000 ; 25 447-454.[citado 2024 ago. 06 ]
Trabalho de evento
Modeling batch cooling crystallization processes by means of neural networks (1999)
Giulietti, Marco; Terra, L. R.; Guardani, Roberto
Source: 14.ISIC: proceedings. Conference titles: International Symposium on Industrial Crystallization. Unidade: EP
Subjects: PROCESSOS QUÍMICOS, REDES NEURAIS, CRISTALIZAÇÃO, MODELOS MATEMÁTICOS
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ABNT
GIULIETTI, Marco e TERRA, L. R. e GUARDANI, Roberto. Modeling batch cooling crystallization processes by means of neural networks. 1999, Anais.. Rugby: Institution of Chemical Engineers, 1999. . Acesso em: 06 ago. 2024.
APA
Giulietti, M., Terra, L. R., & Guardani, R. (1999). Modeling batch cooling crystallization processes by means of neural networks. In 14.ISIC: proceedings. Rugby: Institution of Chemical Engineers.
NLM
Giulietti M, Terra LR, Guardani R. Modeling batch cooling crystallization processes by means of neural networks. 14.ISIC: proceedings. 1999 ;[citado 2024 ago. 06 ]
Vancouver
Giulietti M, Terra LR, Guardani R. Modeling batch cooling crystallization processes by means of neural networks. 14.ISIC: proceedings. 1999 ;[citado 2024 ago. 06 ]

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