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Artigo de periodico
High-fidelity reproduction of central galaxy joint distributions with neural networks (2023)
Rodrigues, Natália Villa Nova ; Santi, Natali Soler Matubaro de ; Dorta, Antonio David Montero ; Abramo, Luis Raul Weber
Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF
Subjects: REDES NEURAIS, GALÁXIAS, COSMOLOGIA
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ABNT
RODRIGUES, Natália Villa Nova et al. High-fidelity reproduction of central galaxy joint distributions with neural networks. Monthly Notices of the Royal Astronomical Society, v. 522, n. 3, p. 3236–3247, 2023Tradução . . Disponível em: https://doi.org/10.1093/mnras/stad1186. Acesso em: 17 jul. 2024.
APA
Rodrigues, N. V. N., Santi, N. S. M. de, Dorta, A. D. M., & Abramo, L. R. W. (2023). High-fidelity reproduction of central galaxy joint distributions with neural networks. Monthly Notices of the Royal Astronomical Society, 522( 3), 3236–3247. doi:10.1093/mnras/stad1186
NLM
Rodrigues NVN, Santi NSM de, Dorta ADM, Abramo LRW. High-fidelity reproduction of central galaxy joint distributions with neural networks [Internet]. Monthly Notices of the Royal Astronomical Society. 2023 ; 522( 3): 3236–3247.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1093/mnras/stad1186
Vancouver
Rodrigues NVN, Santi NSM de, Dorta ADM, Abramo LRW. High-fidelity reproduction of central galaxy joint distributions with neural networks [Internet]. Monthly Notices of the Royal Astronomical Society. 2023 ; 522( 3): 3236–3247.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1093/mnras/stad1186
Artigo de periodico
A classification and quantification approach to generate features in soundscape ecology using neural networks (2022)
Dias, Fabio Felix ; Ponti, Moacir Antonelli ; Minghim, Rosane
Source: Neural Computing and Applications. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL, PÁSSAROS, ANURA
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DIAS, Fabio Felix e PONTI, Moacir Antonelli e MINGHIM, Rosane. A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Computing and Applications, v. 34, n. 3, p. 1923-1937, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00521-021-06501-w. Acesso em: 17 jul. 2024.
APA
Dias, F. F., Ponti, M. A., & Minghim, R. (2022). A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Computing and Applications, 34( 3), 1923-1937. doi:10.1007/s00521-021-06501-w
NLM
Dias FF, Ponti MA, Minghim R. A classification and quantification approach to generate features in soundscape ecology using neural networks [Internet]. Neural Computing and Applications. 2022 ; 34( 3): 1923-1937.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
Vancouver
Dias FF, Ponti MA, Minghim R. A classification and quantification approach to generate features in soundscape ecology using neural networks [Internet]. Neural Computing and Applications. 2022 ; 34( 3): 1923-1937.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
Artigo de periodico
Cattle counting in the wild with geolocated aerial images in large pasture areas (2021)
Soares, Victor Hugo Andrade ; Ponti, Moacir Antonelli ; Gonçalves, Rodrigo Almeida; Campello, Ricardo José Gabrielli Barreto
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: AGRICULTURA DE PRECISÃO, PECUÁRIA, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, AERONAVES NÃO TRIPULADAS
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SOARES, Victor Hugo Andrade et al. Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, v. 189, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106354. Acesso em: 17 jul. 2024.
APA
Soares, V. H. A., Ponti, M. A., Gonçalves, R. A., & Campello, R. J. G. B. (2021). Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, 189, 1-14. doi:10.1016/j.compag.2021.106354
NLM
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Vancouver
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Artigo de periodico
Learning image features with fewer labels using a semi-supervised deep convolutional network (2020)
Santos, Fernando Pereira dos ; Zor, Cemre ; Kittler, Josef ; Ponti, Moacir Antonelli
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
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SANTOS, Fernando Pereira dos et al. Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, v. 132, p. 131-143, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2020.08.016. Acesso em: 17 jul. 2024.
APA
Santos, F. P. dos, Zor, C., Kittler, J., & Ponti, M. A. (2020). Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, 132, 131-143. doi:10.1016/j.neunet.2020.08.016
NLM
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Vancouver
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Artigo de periodico
Designing architectures of convolutional neural networks to solve practical problems (2018)
Ferreira, Martha Dais; Corrêa, Débora Cristina; Nonato, Luis Gustavo ; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
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FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 17 jul. 2024.
APA
Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052
NLM
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Vancouver
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
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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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: 17 jul. 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 jul. 17 ] 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 jul. 17 ] Available from: https://doi.org/10.1088/1748-3190
Artigo de periodico
Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems (2018)
Merlin, Victor Luiz; Santos, Ricardo Caneloi dos ; Le Blond, Simon; Coury, Denis Vinicius
Source: IET Renewable Power Generation. Unidade: EESC
Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, RECONHECIMENTO DE PADRÕES, REDES NEURAIS, ALGORITMOS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, CONVERSORES ELÉTRICOS
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MERLIN, Victor Luiz et al. Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems. IET Renewable Power Generation, v. 12, n. 13, p. 1555-1562, 2018Tradução . . Disponível em: http://dx.doi.org/10.1049/iet-rpg.2018.5097. Acesso em: 17 jul. 2024.
APA
Merlin, V. L., Santos, R. C. dos, Le Blond, S., & Coury, D. V. (2018). Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems. IET Renewable Power Generation, 12( 13), 1555-1562. doi:10.1049/iet-rpg.2018.5097
NLM
Merlin VL, Santos RC dos, Le Blond S, Coury DV. Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems [Internet]. IET Renewable Power Generation. 2018 ; 12( 13): 1555-1562.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1049/iet-rpg.2018.5097
Vancouver
Merlin VL, Santos RC dos, Le Blond S, Coury DV. Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems [Internet]. IET Renewable Power Generation. 2018 ; 12( 13): 1555-1562.[citado 2024 jul. 17 ] Available from: http://dx.doi.org/10.1049/iet-rpg.2018.5097
Artigo de periodico
Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks (2017)
Silva, Alex Soto da; Santos, Ricardo Caneloi dos; Bottura, Fernando Bambozzi; Oleskovicz, Mario
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: ENERGIA ELÉTRICA, HARDWARE, REDES NEURAIS, ENGENHARIA ELÉTRICA
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SILVA, Alex Soto da et al. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, v. 57, p. 50-60, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2016.10.012. Acesso em: 17 jul. 2024.
APA
Silva, A. S. da, Santos, R. C. dos, Bottura, F. B., & Oleskovicz, M. (2017). Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, 57, 50-60. doi:10.1016/j.engappai.2016.10.012
NLM
Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
Vancouver
Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
Artigo de periodico
Deep learning for biological image classification (2017)
Affonso, Carlos; Rossi, André Luis Debiaso; Vieira, Fábio Henrique Antunes; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM
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ABNT
AFFONSO, Carlos et al. Deep learning for biological image classification. Expert Systems with Applications, v. No 2017, p. 114-122, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.05.039. Acesso em: 17 jul. 2024.
APA
Affonso, C., Rossi, A. L. D., Vieira, F. H. A., & Carvalho, A. C. P. de L. F. de. (2017). Deep learning for biological image classification. Expert Systems with Applications, No 2017, 114-122. doi:10.1016/j.eswa.2017.05.039
NLM
Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039
Vancouver
Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.eswa.2017.05.039
Artigo de periodico
Reduction strategies for hierarchical multi-label classification in protein function prediction (2016)
Cerri, Ricardo; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Jin, Yaochu
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
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ABNT
CERRI, Ricardo et al. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, v. 17, p. 1-24, 2016Tradução . . Disponível em: https://doi.org/10.1186/s12859-016-1232-1. Acesso em: 17 jul. 2024.
APA
Cerri, R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Jin, Y. (2016). Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, 17, 1-24. doi:10.1186/s12859-016-1232-1
NLM
Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
Vancouver
Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
Artigo de periodico
Authorship recognition via fluctuation analysis of network topology and word intermittency (2015)
Amancio, Diego Raphael
Source: Journal of Statistical Mechanics : Theory and Experiment. Unidade: ICMC
Subjects: REDES NEURAIS, LINGUÍSTICA COMPUTACIONAL
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AMANCIO, Diego Raphael. Authorship recognition via fluctuation analysis of network topology and word intermittency. Journal of Statistical Mechanics : Theory and Experiment, v. 2015, n. 3, p. P03005-1-P03005-20, 2015Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/2015/03/P03005. Acesso em: 17 jul. 2024.
APA
Amancio, D. R. (2015). Authorship recognition via fluctuation analysis of network topology and word intermittency. Journal of Statistical Mechanics : Theory and Experiment, 2015( 3), P03005-1-P03005-20. doi:10.1088/1742-5468/2015/03/P03005
NLM
Amancio DR. Authorship recognition via fluctuation analysis of network topology and word intermittency [Internet]. Journal of Statistical Mechanics : Theory and Experiment. 2015 ; 2015( 3): P03005-1-P03005-20.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1088/1742-5468/2015/03/P03005
Vancouver
Amancio DR. Authorship recognition via fluctuation analysis of network topology and word intermittency [Internet]. Journal of Statistical Mechanics : Theory and Experiment. 2015 ; 2015( 3): P03005-1-P03005-20.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1088/1742-5468/2015/03/P03005
Artigo de periodico
Global structural optimization considering expected consequences of failure and using ANN surrogates (2013)
Gomes, Wellison José de Santana; Beck, André Teófilo
Source: Computers and Structures. Unidade: EESC
Subjects: ESTRUTURAS (OTIMIZAÇÃO), RISCO (OTIMIZAÇÃO), REDES NEURAIS, MÉTODO DOS ELEMENTOS FINITOS
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GOMES, Wellison José de Santana e BECK, André Teófilo. Global structural optimization considering expected consequences of failure and using ANN surrogates. Computers and Structures, v. 126, p. 56-68, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.compstruc.2012.10.013. Acesso em: 17 jul. 2024.
APA
Gomes, W. J. de S., & Beck, A. T. (2013). Global structural optimization considering expected consequences of failure and using ANN surrogates. Computers and Structures, 126, 56-68. doi:10.1016/j.compstruc.2012.10.013
NLM
Gomes WJ de S, Beck AT. Global structural optimization considering expected consequences of failure and using ANN surrogates [Internet]. Computers and Structures. 2013 ; 126 56-68.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.compstruc.2012.10.013
Vancouver
Gomes WJ de S, Beck AT. Global structural optimization considering expected consequences of failure and using ANN surrogates [Internet]. Computers and Structures. 2013 ; 126 56-68.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.compstruc.2012.10.013
Trabalho de evento-anais periodico
A graph-theoretical approach in brain functional networks. Possible implications in EEG studies (2010)
Fallani, Fabrizio De Vico; Costa, Luciano da Fontoura; Rodrigues, Francisco Aparecido ; Astolfi, Laura; Vecchiato, Giovanni; Toppi, Jlenia; Borghini, Gianluca; Cincotti, Febo; Mattia, Donatella; Salinari, Serenella; Isabella, Roberto; Babiloni, Fabio
Source: Nonlinear Biomedical Physics. Conference titles: Joint Workshop for COST Actions NeuroMath and Consciousness. Unidades: IFSC, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, TEORIA DOS GRAFOS, TEORIA DOS GRAFOS (ESTUDO;APLICAÇÕES), ELETROENCEFALOGRAFIA (ESTUDO;APLICAÇÕES), REDES NEURAIS
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ABNT
FALLANI, Fabrizio De Vico et al. A graph-theoretical approach in brain functional networks. Possible implications in EEG studies. Nonlinear Biomedical Physics. London: BioMed Central. Disponível em: https://doi.org/10.1186/1753-4631-4-S1-S8. Acesso em: 17 jul. 2024. , 2010
APA
Fallani, F. D. V., Costa, L. da F., Rodrigues, F. A., Astolfi, L., Vecchiato, G., Toppi, J., et al. (2010). A graph-theoretical approach in brain functional networks. Possible implications in EEG studies. Nonlinear Biomedical Physics. London: BioMed Central. doi:10.1186/1753-4631-4-S1-S8
NLM
Fallani FDV, Costa L da F, Rodrigues FA, Astolfi L, Vecchiato G, Toppi J, Borghini G, Cincotti F, Mattia D, Salinari S, Isabella R, Babiloni F. A graph-theoretical approach in brain functional networks. Possible implications in EEG studies [Internet]. Nonlinear Biomedical Physics. 2010 ; 4 1-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1186/1753-4631-4-S1-S8
Vancouver
Fallani FDV, Costa L da F, Rodrigues FA, Astolfi L, Vecchiato G, Toppi J, Borghini G, Cincotti F, Mattia D, Salinari S, Isabella R, Babiloni F. A graph-theoretical approach in brain functional networks. Possible implications in EEG studies [Internet]. Nonlinear Biomedical Physics. 2010 ; 4 1-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1186/1753-4631-4-S1-S8
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: 17 jul. 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 jul. 17 ] 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 jul. 17 ] Available from: https://doi.org/10.1142/S146902681000277X
Trabalho de evento-anais periodico
Cross-situational learning of object-word mapping using neural modeling fields (2009)
Fontanari, José Fernando; Tikhanoff, Vadim; Cangelosi, Angelo; Ilin, Roman; Perlovsky, Leonid I.
Source: Neural Networks. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: IFSC
Subjects: REDES NEURAIS, COGNIÇÃO, LINGUAGEM (AQUISIÇÃO), ALGORITMOS, NEUROCIÊNCIAS (MODELOS), LINGUÍSTICA COMPUTACIONAL, LÉXICO
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ABNT
FONTANARI, José Fernando et al. Cross-situational learning of object-word mapping using neural modeling fields. Neural Networks. Oxford: Pergamon-Elsevier Science. Disponível em: https://doi.org/10.1016/j.neunet.2009.06.010. Acesso em: 17 jul. 2024. , 2009
APA
Fontanari, J. F., Tikhanoff, V., Cangelosi, A., Ilin, R., & Perlovsky, L. I. (2009). Cross-situational learning of object-word mapping using neural modeling fields. Neural Networks. Oxford: Pergamon-Elsevier Science. doi:10.1016/j.neunet.2009.06.010
NLM
Fontanari JF, Tikhanoff V, Cangelosi A, Ilin R, Perlovsky LI. Cross-situational learning of object-word mapping using neural modeling fields [Internet]. Neural Networks. 2009 ; 22( 5/6): 579-585.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.010
Vancouver
Fontanari JF, Tikhanoff V, Cangelosi A, Ilin R, Perlovsky LI. Cross-situational learning of object-word mapping using neural modeling fields [Internet]. Neural Networks. 2009 ; 22( 5/6): 579-585.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.010
Artigo de periodico
Connectivity and dynamics of neuronal networks as defined by the shape of individual neurons (2009)
Ahnert, Sebastian E.; Travençolo, Bruno A. N.; Costa, Luciano da Fontoura
Source: New Journal of Physics. Unidade: IFSC
Subjects: REDES COMPLEXAS (DISTRIBUIÇÃO;ORGANIZAÇÃO), REDES NEURAIS
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ABNT
AHNERT, Sebastian E. e TRAVENÇOLO, Bruno A. N. e COSTA, Luciano da Fontoura. Connectivity and dynamics of neuronal networks as defined by the shape of individual neurons. New Journal of Physics, v. 11, p. 103053-1-103053-20, 2009Tradução . . Disponível em: https://doi.org/10.1088/1367-2630/11/10/103053. Acesso em: 17 jul. 2024.
APA
Ahnert, S. E., Travençolo, B. A. N., & Costa, L. da F. (2009). Connectivity and dynamics of neuronal networks as defined by the shape of individual neurons. New Journal of Physics, 11, 103053-1-103053-20. doi:10.1088/1367-2630/11/10/103053
NLM
Ahnert SE, Travençolo BAN, Costa L da F. Connectivity and dynamics of neuronal networks as defined by the shape of individual neurons [Internet]. New Journal of Physics. 2009 ; 11 103053-1-103053-20.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1088/1367-2630/11/10/103053
Vancouver
Ahnert SE, Travençolo BAN, Costa L da F. Connectivity and dynamics of neuronal networks as defined by the shape of individual neurons [Internet]. New Journal of Physics. 2009 ; 11 103053-1-103053-20.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1088/1367-2630/11/10/103053
Artigo de periodico
Chaotic phase synchronization and desynchronization in an oscillator network for object selection (2009)
Breve, Fabricio A.; Zhao, Liang; Quiles, Marcos G; Macau, Elbert E N
Source: Neural Networks. Unidade: ICMC
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BREVE, Fabricio A. et al. Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, v. 22, n. 5-6, p. 728-737, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2009.06.027. Acesso em: 17 jul. 2024.
APA
Breve, F. A., Zhao, L., Quiles, M. G., & Macau, E. E. N. (2009). Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, 22( 5-6), 728-737. doi:10.1016/j.neunet.2009.06.027
NLM
Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
Vancouver
Breve FA, Zhao L, Quiles MG, Macau EEN. Chaotic phase synchronization and desynchronization in an oscillator network for object selection [Internet]. Neural Networks. 2009 ;22( 5-6): 728-737.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
Artigo de periodico
Remote control of CNC machines using the CyberOPC communication system over public networks (2008)
Torrisi, Nunzio Marco; Oliveira, João Fernando Gomes de
Source: International Journal of Advanced Manufacturing Technology. Unidade: EESC
Subjects: REDES NEURAIS, INTERNET
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TORRISI, Nunzio Marco e OLIVEIRA, João Fernando Gomes de. Remote control of CNC machines using the CyberOPC communication system over public networks. International Journal of Advanced Manufacturing Technology, v. 39, n. 5-6, p. 570-577, 2008Tradução . . Disponível em: https://doi.org/10.1007/s00170-007-1244-0. Acesso em: 17 jul. 2024.
APA
Torrisi, N. M., & Oliveira, J. F. G. de. (2008). Remote control of CNC machines using the CyberOPC communication system over public networks. International Journal of Advanced Manufacturing Technology, 39( 5-6), 570-577. doi:10.1007/s00170-007-1244-0
NLM
Torrisi NM, Oliveira JFG de. Remote control of CNC machines using the CyberOPC communication system over public networks [Internet]. International Journal of Advanced Manufacturing Technology. 2008 ; 39( 5-6): 570-577.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s00170-007-1244-0
Vancouver
Torrisi NM, Oliveira JFG de. Remote control of CNC machines using the CyberOPC communication system over public networks [Internet]. International Journal of Advanced Manufacturing Technology. 2008 ; 39( 5-6): 570-577.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s00170-007-1244-0
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 17 jul. 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 jul. 17 ] 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 jul. 17 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 17 jul. 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 jul. 17 ] 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 jul. 17 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035

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