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Artigo de periodico
Continual object detection: a review of definitions, strategies, and challenges (2023)
Menezes, Angelo Garangau ; Moura, Gustavo de; Alves, Cézanne; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BENCHMARKS, REVISÃO SISTEMÁTICA
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ABNT
MENEZES, Angelo Garangau et al. Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, v. 161, p. 476-493, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2023.01.041. Acesso em: 01 maio 2024.
APA
Menezes, A. G., Moura, G. de, Alves, C., & Carvalho, A. C. P. de L. F. de. (2023). Continual object detection: a review of definitions, strategies, and challenges. Neural Networks, 161, 476-493. doi:10.1016/j.neunet.2023.01.041
NLM
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
Vancouver
Menezes AG, Moura G de, Alves C, Carvalho ACP de LF de. Continual object detection: a review of definitions, strategies, and challenges [Internet]. Neural Networks. 2023 ; 161 476-493.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2023.01.041
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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ABNT
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: 01 maio 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 maio 01 ] 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 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Artigo de periodico
Particle swarm optimization for network-based data classification (2019)
Carneiro, Murillo G.; Cheng, Ran; Zhao, Liang ; Jin, Yaochu
Source: Neural Networks. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, OTIMIZAÇÃO MATEMÁTICA
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ABNT
CARNEIRO, Murillo G. et al. Particle swarm optimization for network-based data classification. Neural Networks, v. 110, p. 243-255, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2018.12.003. Acesso em: 01 maio 2024.
APA
Carneiro, M. G., Cheng, R., Zhao, L., & Jin, Y. (2019). Particle swarm optimization for network-based data classification. Neural Networks, 110, 243-255. doi:10.1016/j.neunet.2018.12.003
NLM
Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
Vancouver
Carneiro MG, Cheng R, Zhao L, Jin Y. Particle swarm optimization for network-based data classification [Internet]. Neural Networks. 2019 ; 110 243-255.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2018.12.003
Artigo de periodico
Spike timing-dependent plasticity induces non-trivial topology in the brain (2017)
Borges, Rafael Ribaski; Borges, Fernando da Silva; Lameu, Ewandson Luiz; Batista, Antonio Marcos; Iarosz, Kelly Cristiane; Caldas, Iberê Luiz ; Antonopoulose, C G; Baptista, Murilo da Silva
Source: Neural Networks. Unidade: IF
Subjects: REDES NEURAIS, SINCRONIZAÇÃO
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ABNT
BORGES, Rafael Ribaski et al. Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, v. 88, p. 58–64, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2017.01.010. Acesso em: 01 maio 2024.
APA
Borges, R. R., Borges, F. da S., Lameu, E. L., Batista, A. M., Iarosz, K. C., Caldas, I. L., et al. (2017). Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, 88, 58–64. doi:10.1016/j.neunet.2017.01.010
NLM
Borges RR, Borges F da S, Lameu EL, Batista AM, Iarosz KC, Caldas IL, Antonopoulose CG, Baptista M da S. Spike timing-dependent plasticity induces non-trivial topology in the brain [Internet]. Neural Networks. 2017 ; 88 58–64.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2017.01.010
Vancouver
Borges RR, Borges F da S, Lameu EL, Batista AM, Iarosz KC, Caldas IL, Antonopoulose CG, Baptista M da S. Spike timing-dependent plasticity induces non-trivial topology in the brain [Internet]. Neural Networks. 2017 ; 88 58–64.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2017.01.010
Artigo de periodico
Attribute-based decision graphs: a framework for multiclass data classification (2017)
Bertini Júnior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Neural Networks. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
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ABNT
BERTINI JÚNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Attribute-based decision graphs: a framework for multiclass data classification. Neural Networks, v. 85, p. 69-84, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2016.09.008. Acesso em: 01 maio 2024.
APA
Bertini Júnior, J. R., Nicoletti, M. do C., & Liang, Z. (2017). Attribute-based decision graphs: a framework for multiclass data classification. Neural Networks, 85, 69-84. doi:10.1016/j.neunet.2016.09.008
NLM
Bertini Júnior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs: a framework for multiclass data classification [Internet]. Neural Networks. 2017 ; 85 69-84.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2016.09.008
Vancouver
Bertini Júnior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs: a framework for multiclass data classification [Internet]. Neural Networks. 2017 ; 85 69-84.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2016.09.008
Artigo de periodico
Detecting and preventing error propagation via competitive learning (2013)
Silva, Thiago Christiano; Liang, Zhao
Source: Neural Networks. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.11.001. Acesso em: 01 maio 2024.
APA
Silva, T. C., & Liang, Z. (2013). Detecting and preventing error propagation via competitive learning. Neural Networks, 41, 70-84. doi:10.1016/j.neunet.2012.11.001
NLM
Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
Vancouver
Silva TC, Liang Z. Detecting and preventing error propagation via competitive learning [Internet]. Neural Networks. 2013 ; 41 70-84.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2012.11.001
Trabalho de evento-anais periodico
A structural model of emotions of cognitive dissonances (2012)
Fontanari, José Fernando; Bonniot, Marie-Claude; Cabanac, Michel; Perlovsky, Leonid I.
Source: Neural Networks. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: IFSC
Subjects: EMOÇÕES (ESTUDO;VARIAÇÃO), FÍSICA TEÓRICA, PROCESSOS COGNITIVOS
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ABNT
FONTANARI, José Fernando et al. A structural model of emotions of cognitive dissonances. Neural Networks. Oxford: Pergamon. Disponível em: https://doi.org/10.1016/j.neunet.2012.04.007. Acesso em: 01 maio 2024. , 2012
APA
Fontanari, J. F., Bonniot, M. -C., Cabanac, M., & Perlovsky, L. I. (2012). A structural model of emotions of cognitive dissonances. Neural Networks. Oxford: Pergamon. doi:10.1016/j.neunet.2012.04.007
NLM
Fontanari JF, Bonniot M-C, Cabanac M, Perlovsky LI. A structural model of emotions of cognitive dissonances [Internet]. Neural Networks. 2012 ; 32 57-64.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2012.04.007
Vancouver
Fontanari JF, Bonniot M-C, Cabanac M, Perlovsky LI. A structural model of emotions of cognitive dissonances [Internet]. Neural Networks. 2012 ; 32 57-64.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2012.04.007
Artigo de periodico
Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling (2012)
Xiaoming, Liang; Liang, Zhao
Source: Neural Networks. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
XIAOMING, Liang e LIANG, Zhao. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, v. no 2012, p. 40-45, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2012.08.002. Acesso em: 01 maio 2024.
APA
Xiaoming, L., & Liang, Z. (2012). Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, no 2012, 40-45. doi:10.1016/j.neunet.2012.08.002
NLM
Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
Vancouver
Xiaoming L, Liang Z. Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling [Internet]. Neural Networks. 2012 ; no 2012 40-45.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2012.08.002
Artigo de periodico
Selecting salient objects in real scenes: an oscillatory correlation model (2011)
Quiles, Marcos Gonçalves; Wang, DeLiang; Liang, Zhao; Romero, Roseli Aparecida Francelin; Huang, De-Shuang
Source: Neural Networks. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
QUILES, Marcos Gonçalves et al. Selecting salient objects in real scenes: an oscillatory correlation model. Neural Networks, v. 24, n. 1, p. 54-64, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2010.09.002. Acesso em: 01 maio 2024.
APA
Quiles, M. G., Wang, D. L., Liang, Z., Romero, R. A. F., & Huang, D. -S. (2011). Selecting salient objects in real scenes: an oscillatory correlation model. Neural Networks, 24( 1), 54-64. doi:10.1016/j.neunet.2010.09.002
NLM
Quiles MG, Wang DL, Liang Z, Romero RAF, Huang D-S. Selecting salient objects in real scenes: an oscillatory correlation model [Internet]. Neural Networks. 2011 ; 24( 1): 54-64.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2010.09.002
Vancouver
Quiles MG, Wang DL, Liang Z, Romero RAF, Huang D-S. Selecting salient objects in real scenes: an oscillatory correlation model [Internet]. Neural Networks. 2011 ; 24( 1): 54-64.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2010.09.002
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: 01 maio 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 maio 01 ] 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 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.010
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
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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: 01 maio 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 maio 01 ] 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 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2009.06.027
Trabalho de evento-anais periodico
How language can help discrimination in the neural modelling fields framework (2008)
Fontanari, José Fernando; Perlovsky, Leonid I.
Source: Neural Networks. Conference titles: International Joint Conference on Neural Networks. Unidade: IFSC
Subjects: AQUISIÇÃO DA LINGUAGEM, ALGORITMOS, PALAVRA, INTELIGÊNCIA ARTIFICIAL, NEUROCIÊNCIAS (MODELOS)
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ABNT
FONTANARI, José Fernando e PERLOVSKY, Leonid I. How language can help discrimination in the neural modelling fields framework. Neural Networks. Oxford: Pergamon Elsevier Science. Disponível em: https://doi.org/10.1016/j.neunet.2007.12.007. Acesso em: 01 maio 2024. , 2008
APA
Fontanari, J. F., & Perlovsky, L. I. (2008). How language can help discrimination in the neural modelling fields framework. Neural Networks. Oxford: Pergamon Elsevier Science. doi:10.1016/j.neunet.2007.12.007
NLM
Fontanari JF, Perlovsky LI. How language can help discrimination in the neural modelling fields framework [Internet]. Neural Networks. 2008 ; 21( 2/3): 250-256.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2007.12.007
Vancouver
Fontanari JF, Perlovsky LI. How language can help discrimination in the neural modelling fields framework [Internet]. Neural Networks. 2008 ; 21( 2/3): 250-256.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2007.12.007
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: 01 maio 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 maio 01 ] 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 maio 01 ] Available from: https://doi.org/10.1016/j.neunet.2005.06.035
Artigo de periodico
Anxiety-like behavior in rats: a computational model (2000)
Salum, Cristiane; Carvalho, Sílvio Morato de; Roque-da-Silva, Antonio Carlos
Source: Neural Networks. Unidade: FFCLRP
Subjects: PSICOBIOLOGIA, PSICOLOGIA (MÉTODOS DE PESQUISA)
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ABNT
SALUM, Cristiane e CARVALHO, Sílvio Morato de e ROQUE-DA-SILVA, Antonio Carlos. Anxiety-like behavior in rats: a computational model. Neural Networks, v. 13, n. 1, p. 21-29, 2000Tradução . . Disponível em: https://doi.org/10.1016/s0893-6080(99)00099-4. Acesso em: 01 maio 2024.
APA
Salum, C., Carvalho, S. M. de, & Roque-da-Silva, A. C. (2000). Anxiety-like behavior in rats: a computational model. Neural Networks, 13( 1), 21-29. doi:10.1016/s0893-6080(99)00099-4
NLM
Salum C, Carvalho SM de, Roque-da-Silva AC. Anxiety-like behavior in rats: a computational model [Internet]. Neural Networks. 2000 ; 13( 1): 21-29.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/s0893-6080(99)00099-4
Vancouver
Salum C, Carvalho SM de, Roque-da-Silva AC. Anxiety-like behavior in rats: a computational model [Internet]. Neural Networks. 2000 ; 13( 1): 21-29.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/s0893-6080(99)00099-4
Artigo de periodico
Effect of delay on the boundary of the basin of attraction in a system of two neurons (1998)
Pakdaman, K; Ragazzo, Clodoaldo Grotta ; Malta, Coraci Pereira ; Arino, Ovide; Vibert, J F
Source: Neural Networks. Unidades: IF, IME
Assunto: NEUROLOGIA
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ABNT
PAKDAMAN, K et al. Effect of delay on the boundary of the basin of attraction in a system of two neurons. Neural Networks, v. 11, n. 3, p. 509-519, 1998Tradução . . Disponível em: https://doi.org/10.1016/S0893-6080(97)00112-3. Acesso em: 01 maio 2024.
APA
Pakdaman, K., Ragazzo, C. G., Malta, C. P., Arino, O., & Vibert, J. F. (1998). Effect of delay on the boundary of the basin of attraction in a system of two neurons. Neural Networks, 11( 3), 509-519. doi:10.1016/S0893-6080(97)00112-3
NLM
Pakdaman K, Ragazzo CG, Malta CP, Arino O, Vibert JF. Effect of delay on the boundary of the basin of attraction in a system of two neurons [Internet]. Neural Networks. 1998 ; 11( 3): 509-519.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/S0893-6080(97)00112-3
Vancouver
Pakdaman K, Ragazzo CG, Malta CP, Arino O, Vibert JF. Effect of delay on the boundary of the basin of attraction in a system of two neurons [Internet]. Neural Networks. 1998 ; 11( 3): 509-519.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/S0893-6080(97)00112-3
Artigo de periodico
Neural net for extracting knowledge from natural language data bases (1992)
Rocha, A F; Guilherme, I R; Rocha, Marly Theoto; Miyadahira, Ana Maria Kazue; Koizumi, Maria Sumie
Source: Neural Networks. Unidade: EE
Assunto: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
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ABNT
ROCHA, A F et al. Neural net for extracting knowledge from natural language data bases. Neural Networks, v. 3 , n. 5 , p. 819-27, 1992Tradução . . Disponível em: https://doi.org/10.1109/72.159072. Acesso em: 01 maio 2024.
APA
Rocha, A. F., Guilherme, I. R., Rocha, M. T., Miyadahira, A. M. K., & Koizumi, M. S. (1992). Neural net for extracting knowledge from natural language data bases. Neural Networks, 3 ( 5 ), 819-27. doi:10.1109/72.159072
NLM
Rocha AF, Guilherme IR, Rocha MT, Miyadahira AMK, Koizumi MS. Neural net for extracting knowledge from natural language data bases [Internet]. Neural Networks. 1992 ;3 ( 5 ): 819-27.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/72.159072
Vancouver
Rocha AF, Guilherme IR, Rocha MT, Miyadahira AMK, Koizumi MS. Neural net for extracting knowledge from natural language data bases [Internet]. Neural Networks. 1992 ;3 ( 5 ): 819-27.[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/72.159072

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