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1
Aplication of feedforward and recurrent neural networks for flapping and torsion identification of a helicopter blade
Aplication of feedforward and recurrent neural networks for flapping and torsion identification of a helicopter blade
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Aplication of feedforward and recurrent neural networks for flapping and torsion identification of a helicopter blade

Luciane de Fátima Rodrigues de Souza Daniela Cristina Rebolho; Alexandre Simião Caporali; Eduardo Morgado Belo; Flávio Donizeti Marques; International Congress of Mechanical Engineering (17. 2003 São Paulo)

Abstracts Rio de Janeiro : ABCM, 2003

Rio de Janeiro ABCM 2003

Item não circula. Consulte sua biblioteca.(Acessar)

2
Estimation of optical misalignment using artificial neural networks
Estimation of optical misalignment using artificial neural networks
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Estimation of optical misalignment using artificial neural networks

Lucimara C. N. Scaduto Mario A Stefani; Jarbas Caiado de Castro Neto; Optics and Photonics (2014 San Diego); Optical Engineering and Applications (2014 San Diego); Optical System Alignment, Tolerancing, and Verification (8. 2014 San Diego)

Abstracts Bellingham : International Society for Optical Engineering - SPIE, 2014

Bellingham International Society for Optical Engineering - SPIE 2014

Localização: IFSC - Inst. Física de São Carlos    (PROD022410 )(Acessar)

3
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
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Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks

Osame Kinouchi Ariadne D Costa; Ludmila Brochini; Antônio Carlos Roque da Silva Filho; Neuroinformatics 2016 (2016 Reading)

Abstracts Reading, 2016

Reading 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2830839 Estantes Deslizantes )(Acessar)

4
Electronic tongue system based on an array of conducting polymers and MoS2 for the classification of bisphenol A based on neural networks approach
Electronic tongue system based on an array of conducting polymers and MoS2 for the classification of bisphenol A based on neural networks approach
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Electronic tongue system based on an array of conducting polymers and MoS2 for the classification of bisphenol A based on neural networks approach

Wania Christinelli Murilo Facure; Flavio Shimizu; Ricardo Cerri; Osvaldo Novais de Oliveira Junior; Daniel Correa; Luiz Henrique Mattoso; Materials Research Society Fall Meeting and Exhibit (2017 Boston); Symposium BM06: 2D Nanomaterials in Health Care (2017 Boston)

Abstracts Warrendale : Materials Research Society - MRS, 2017

Warrendale Materials Research Society - MRS 2017

Acesso online. A biblioteca também possui exemplares impressos.

5
Use of a neural field model to derive equilibrium valves for the weights of recurrent synapses
Use of a neural field model to derive equilibrium valves for the weights of recurrent synapses
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Use of a neural field model to derive equilibrium valves for the weights of recurrent synapses

Antônio Carlos Roque Ieee International Conference on Neural Networks (1994 Orlando)

Abstracts 1994

Orlando 1994

Item não circula. Consulte sua biblioteca.(Acessar)

6
Spatial variation of the weights of recurrent synapses during equilibrium
Spatial variation of the weights of recurrent synapses during equilibrium
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Artigo de Congresso 		Adicionar ao Meu Espaço

Spatial variation of the weights of recurrent synapses during equilibrium

Antônio Carlos Roque World Congress on Neural Networks (1994 San Diego)

Abstracts 1994

San Diego 1994

Item não circula. Consulte sua biblioteca.(Acessar)

7
Aeroelastic functional approximation via an artificial neural network reduced-order model
Aeroelastic functional approximation via an artificial neural network reduced-order model
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Aeroelastic functional approximation via an artificial neural network reduced-order model

Ana Paula Carvalho da Silva Ferreira Flávio Donizeti Marques; Eduardo Morgado Belo; International Congress of Mechanical Engineering (17. 2003 São Paulo)

Abstracts Rio de Janeiro : ABCM, 2003

Rio de Janeiro ABCM 2003

Item não circula. Consulte sua biblioteca.(Acessar)

8
Program of maintenance and rehabilitation activities for unpaved road using artificial neural network
Program of maintenance and rehabilitation activities for unpaved road using artificial neural network
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Program of maintenance and rehabilitation activities for unpaved road using artificial neural network

José Leomar Fernandes Júnior Sandra Oda; Sandra Fabiana Rodgher; Glauco Tulio Pessa Fabbri; Manoel Henrique Alba Soria; Canadian Society for Civil Engineering (29. 2001 Victoria); Specialty Conference on Environmental Engineering (7. 2001 Victoria)

Abstracts Victoria : CSCE, 2001

Victoria CSCE 2001

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-001379 )(Acessar)

9
A stochastic version of the Potjans-Diesmann cortical column model
A stochastic version of the Potjans-Diesmann cortical column model
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A stochastic version of the Potjans-Diesmann cortical column model

Vinicius L. Cordeiro Renan O Shimoura; Nilton L Kamiji; Osame Kinouchi; Antônio Carlos Roque da Silva Filho; Neuroinformatics 2016 (2016 Reading)

Abstracts Reading, 2016

Reading 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2830856 Estantes Deslizantes )(Acessar)

10
Perspective on applications of a stochastic spiking neuron model to neural network modeling
Perspective on applications of a stochastic spiking neuron model to neural network modeling
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Perspective on applications of a stochastic spiking neuron model to neural network modeling

Antônio Carlos Roque Ludmila Brochini; Ariadne Costa; Vinícius Cordeiro; Renan Shimoura; Miguel Natalio Abadi; Osame Kinouchi; Jorge Stolfi; Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience (2016 São Paulo)

Abstracts São Paulo : USP, 2016

São Paulo USP 2016

Acesso online. A biblioteca também possui exemplares impressos.

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Deste Autor:

  1. Roque, A
  2. Kinouchi, O
  3. Brochini, L
  4. Shimoura, R
  5. Costa, A

Neste Assunto:

  1. Redes Neurais
  2. Informática
  3. Neurociências
  4. Modelos Para Processos Estocásticos
  5. Física

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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