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Refinado por: Base de dados/Biblioteca: IEEE Electronic Library (IEL) Journals remover assunto: Software remover Ieee Transaction On Neural Networks And Learning Systems remover
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1
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Chen, C. L. Philip ; Liu, Zhulin

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

United States: IEEE

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2
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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3
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
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A Survey of End-to-End Driving: Architectures and Training Methods

Tampuu, Ardi ; Matiisen, Tambet ; Semikin, Maksym ; Fishman, Dmytro ; Muhammad, Naveed

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1364-1384

United States: IEEE

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4
Neural Network Architecture for Cognitive Navigation in Dynamic Environments
Neural Network Architecture for Cognitive Navigation in Dynamic Environments
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Neural Network Architecture for Cognitive Navigation in Dynamic Environments

Villacorta-Atienza, Jose Antonio ; Makarov, Valeri A.

IEEE transaction on neural networks and learning systems, 2013-12, Vol.24 (12), p.2075-2087

New York, NY: IEEE

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5
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
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High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines

Le Ly, Daniel ; Chow, Paul

IEEE transactions on neural networks, 2010-11, Vol.21 (11), p.1780-1792

New York, NY: IEEE

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6
A Survey of the Usages of Deep Learning for Natural Language Processing
A Survey of the Usages of Deep Learning for Natural Language Processing
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A Survey of the Usages of Deep Learning for Natural Language Processing

Otter, Daniel W. ; Medina, Julian R. ; Kalita, Jugal K.

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604-624

United States: IEEE

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7
Efficient Online Learning Algorithms Based on LSTM Neural Networks
Efficient Online Learning Algorithms Based on LSTM Neural Networks
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Efficient Online Learning Algorithms Based on LSTM Neural Networks

Ergen, Tolga ; Kozat, Suleyman Serdar

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3772-3783

United States: IEEE

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8
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Sakhavi, Siavash ; Guan, Cuntai ; Yan, Shuicheng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

United States: IEEE

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9
On the Impact of Approximate Computation in an Analog DeSTIN Architecture
On the Impact of Approximate Computation in an Analog DeSTIN Architecture
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On the Impact of Approximate Computation in an Analog DeSTIN Architecture

Young, Steven ; Junjie Lu ; Holleman, Jeremy ; Arel, Itamar

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.934-946

New York, NY: IEEE

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10
Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
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Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

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