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Refinado por: assunto: Algorithms remover assunto: Computer Science remover assunto: Neural Networks remover Engineering, Electrical & Electronic remover Computer Science, Theory & Methods remover
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Scene Recognition by Manifold Regularized Deep Learning Architecture
Scene Recognition by Manifold Regularized Deep Learning Architecture
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Scene Recognition by Manifold Regularized Deep Learning Architecture

Yuan, Yuan ; Mou, Lichao ; Lu, Xiaoqiang

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2222-2233

United States: IEEE

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2
An innovative neural network approach for stock market prediction
An innovative neural network approach for stock market prediction
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An innovative neural network approach for stock market prediction

Pang, Xiongwen ; Zhou, Yanqiang ; Wang, Pan ; Lin, Weiwei ; Chang, Victor

The Journal of supercomputing, 2020-03, Vol.76 (3), p.2098-2118 [Periódico revisado por pares]

New York: Springer US

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3
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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4
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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5
Subarchitecture Ensemble Pruning in Neural Architecture Search
Subarchitecture Ensemble Pruning in Neural Architecture Search
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Subarchitecture Ensemble Pruning in Neural Architecture Search

Bian, Yijun ; Song, Qingquan ; Du, Mengnan ; Yao, Jun ; Chen, Huanhuan ; Hu, Xia

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.7928-7936

United States: IEEE

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6
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs

Liu, Shuanglong ; Fan, Hongxiang ; Ferianc, Martin ; Niu, Xinyu ; Shi, Huifeng ; Luk, Wayne

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.3974-3987

United States: IEEE

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7
Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches
Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches
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Data mining algorithms for bridge health monitoring: Kohonen clustering and LSTM prediction approaches

Guo, Aiping ; Jiang, Ajuan ; Lin, Jie ; Li, Xiaoxiao

The Journal of supercomputing, 2020-02, Vol.76 (2), p.932-947 [Periódico revisado por pares]

New York: Springer US

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8
Deep and Shallow Architecture of Multilayer Neural Networks
Deep and Shallow Architecture of Multilayer Neural Networks
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Deep and Shallow Architecture of Multilayer Neural Networks

Chang, Chih-Hung

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2477-2486

United States: IEEE

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9
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
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A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis

Priyadarshini, Ishaani ; Cotton, Chase

The Journal of supercomputing, 2021, Vol.77 (12), p.13911-13932 [Periódico revisado por pares]

New York: Springer US

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10
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
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A Comprehensive Survey on Graph Neural Networks

Wu, Zonghan ; Pan, Shirui ; Chen, Fengwen ; Long, Guodong ; Zhang, Chengqi ; Yu, Philip S.

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

United States: IEEE

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