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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover Nome da Publicação: Ieee Transaction On Neural Networks And Learning Systems remover
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Performance of the Alex AVX-2 MIMD architecture in learning the NetTalk database
Performance of the Alex AVX-2 MIMD architecture in learning the NetTalk database
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Performance of the Alex AVX-2 MIMD architecture in learning the NetTalk database

Abbas, H.M.

IEEE transactions on neural networks, 2004-03, Vol.15 (2), p.505-514

United States: IEEE

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2
Neural networks for blind-source separation of Stromboli explosion quakes
Neural networks for blind-source separation of Stromboli explosion quakes
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Neural networks for blind-source separation of Stromboli explosion quakes

Acernese, F. ; Ciaramella, A. ; De Martino, S. ; De Rosa, R. ; Falanga, M. ; Tagliaferri, R.

IEEE transactions on neural networks, 2003-01, Vol.14 (1), p.167-175

United States: IEEE

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3
Memristor Bridge Synapse-Based Neural Network and Its Learning
Memristor Bridge Synapse-Based Neural Network and Its Learning
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Memristor Bridge Synapse-Based Neural Network and Its Learning

Adhikari, S. P. ; Changju Yang ; Hyongsuk Kim ; Chua, L. O.

IEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1426-1435

New York, NY: IEEE

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4
Linear-Time Subspace Clustering via Bipartite Graph Modeling
Linear-Time Subspace Clustering via Bipartite Graph Modeling
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Linear-Time Subspace Clustering via Bipartite Graph Modeling

Adler, Amir ; Elad, Michael ; Hel-Or, Yacov

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2234-2246

United States: IEEE

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5
Application of LMS-Based NN Structure for Power Quality Enhancement in a Distribution Network Under Abnormal Conditions
Application of LMS-Based NN Structure for Power Quality Enhancement in a Distribution Network Under Abnormal Conditions
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Application of LMS-Based NN Structure for Power Quality Enhancement in a Distribution Network Under Abnormal Conditions

Agarwal, Rahul Kumar ; Hussain, Ikhlaq ; Singh, Bhim

IEEE transaction on neural networks and learning systems, 2018-05, Vol.29 (5), p.1598-1607

United States: IEEE

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6
Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach
Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach
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Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach

Aggarwal, Manish

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.670-682

United States: IEEE

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7
Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
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Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier

Ahmadi, Ghasem ; Teshnehlab, Mohammad

IEEE transaction on neural networks and learning systems, 2017-08, Vol.28 (8), p.1774-1786

United States: IEEE

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8
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
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NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

Aimar, Alessandro ; Mostafa, Hesham ; Calabrese, Enrico ; Rios-Navarro, Antonio ; Tapiador-Morales, Ricardo ; Lungu, Iulia-Alexandra ; Milde, Moritz B. ; Corradi, Federico ; Linares-Barranco, Alejandro ; Liu, Shih-Chii ; Delbruck, Tobi

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.644-656

United States: IEEE

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9
Fast Kronecker Product Kernel Methods via Generalized Vec Trick
Fast Kronecker Product Kernel Methods via Generalized Vec Trick
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Fast Kronecker Product Kernel Methods via Generalized Vec Trick

Airola, Antti ; Pahikkala, Tapio

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3374-3387

United States: IEEE

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10
MLMVN With Soft Margins Learning
MLMVN With Soft Margins Learning
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MLMVN With Soft Margins Learning

Aizenberg, Igor

IEEE transaction on neural networks and learning systems, 2014-09, Vol.25 (9), p.1632-1644

Piscataway: IEEE

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