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1
Neural network with chaotic recursive nodes techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs
Neural network with chaotic recursive nodes techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs
Material Type:
Artigo 		Adicionar ao Meu Espaço

Neural network with chaotic recursive nodes techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs

Emilio Del Moral Hernandez 1962-

Neural Networks, Oxford : Elsevier, 2003 v. 16, n. 5-6, p. 675-682, June 2003

Oxford 2003

Item não circula. Consulte sua biblioteca.(Acessar)

2
Non-homogenous neural networks with chaotic recursive nodes connectivity and multi-assemblies structures in recursive processing elements architectures
Non-homogenous neural networks with chaotic recursive nodes connectivity and multi-assemblies structures in recursive processing elements architectures
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Non-homogenous neural networks with chaotic recursive nodes connectivity and multi-assemblies structures in recursive processing elements architectures

Emilio Del Moral Hernandez 1962-

Neural Networks v.18, n.5-6, July-August, p.532-540, 2005

Oxford 2005

Item não circula. Consulte sua biblioteca.(Acessar)

3
Chaotic phase synchronization and desynchronization in an oscillator network for object selection
Chaotic phase synchronization and desynchronization in an oscillator network for object selection
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Chaotic phase synchronization and desynchronization in an oscillator network for object selection

Fabricio A. Breve Liang Zhao; Marcos G Quiles; Elbert E N Macau

Neural Networks Oxford - Elsevier v.22, n.5-6, July-August, p. 728-737, 2009

Oxford 2009

Acesso online. A biblioteca também possui exemplares impressos.

4
Neural network with chaotic recursive nodes techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs
Neural network with chaotic recursive nodes techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs
Material Type:
Artigo 		Adicionar ao Meu Espaço

Neural network with chaotic recursive nodes techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs

Emilio Del Moral Hernandez 1962-

Neural Networks, Oxford : Elsevier, 2003 v. 16, n. 5-6, p. 675-682, June 2003

Oxford 2003

Item não circula. Consulte sua biblioteca.(Acessar)

5
Non-homogenous neural networks with chaotic recursive nodes connectivity and multi-assemblies structures in recursive processing elements architectures
Non-homogenous neural networks with chaotic recursive nodes connectivity and multi-assemblies structures in recursive processing elements architectures
Material Type:
Artigo 		Adicionar ao Meu Espaço

Non-homogenous neural networks with chaotic recursive nodes connectivity and multi-assemblies structures in recursive processing elements architectures

Emilio Del Moral Hernandez 1962-

Neural Networks v.18, n.5-6, July-August, p.532-540, 2005

Oxford 2005

Item não circula. Consulte sua biblioteca.(Acessar)

6
Spike timing-dependent plasticity induces non-trivial topology in the brain
Spike timing-dependent plasticity induces non-trivial topology in the brain
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Spike timing-dependent plasticity induces non-trivial topology in the brain

Rafael Ribaski Borges Fernando da Silva Borges; Ewandson Luiz Lameu; Antonio Marcos Batista; Kelly Cristiane Iarosz; Iberê Luiz Caldas; C G Antonopoulose; Murilo da Silva Baptista

Neural Networks Tarrytown v. 88, p. 58–64, 2017

Tarrytown 2017

Item não circula. Consulte sua biblioteca.(Acessar)

7
Cross-situational learning of object-word mapping using neural modeling fields
Cross-situational learning of object-word mapping using neural modeling fields
Material Type:
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Cross-situational learning of object-word mapping using neural modeling fields

José Fernando Fontanari Vadim Tikhanoff; Angelo Cangelosi; Roman Ilin; Leonid I Perlovsky; International Joint Conference on Neural Networks - IJCNN (2009 Atlanta)

Neural Networks Oxford v. 22, n. 5/6, p. 579-585, July/Aug. 2009

Oxford Pergamon-Elsevier Science 2009

Localização: IFSC - Inst. Física de São Carlos    (PROD016248 ) e outros locais(Acessar)

8
Learning image features with fewer labels using a semi-supervised deep convolutional network
Learning image features with fewer labels using a semi-supervised deep convolutional network
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Learning image features with fewer labels using a semi-supervised deep convolutional network

Fernando Pereira dos Santos Cemre Zor; Josef Kittler; Moacir Antonelli Ponti

Neural Networks Kidlington : Pergamon , Elsevier v. 132, p. 131-143, Dec. 2020

Kidlington 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3004610 )(Acessar)

9
Continual object detection a review of definitions, strategies, and challenges
Continual object detection a review of definitions, strategies, and challenges
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Continual object detection a review of definitions, strategies, and challenges

Angelo Garangau Menezes Gustavo de Moura; Cézanne Alves; André Carlos Ponce de Leon Ferreira de Carvalho

Neural Networks Kidlington v. 161, p. 476-493, Apr. 2023

Kidlington 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3121535 )(Acessar)

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