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Refinado por: assunto: Artificial Neural Networks remover Algorithms remover assunto: Neural Networks remover Classification remover
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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Sun, Yanan ; Yen, Gary G. ; Yi, Zhang

IEEE transactions on evolutionary computation, 2019-02, Vol.23 (1), p.89-103 [Periódico revisado por pares]

New York: IEEE

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2
A review of convolutional neural network architectures and their optimizations
A review of convolutional neural network architectures and their optimizations
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A review of convolutional neural network architectures and their optimizations

Cong, Shuang ; Zhou, Yang

The Artificial intelligence review, 2023-03, Vol.56 (3), p.1905-1969 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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3
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network
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Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network

Doan, Van-Sang ; Huynh-The, Thien ; Kim, Dong-Seong

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5 [Periódico revisado por pares]

Piscataway: IEEE

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4
Evolving Block-Based Convolutional Neural Network for Hyperspectral Image Classification
Evolving Block-Based Convolutional Neural Network for Hyperspectral Image Classification
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Evolving Block-Based Convolutional Neural Network for Hyperspectral Image Classification

Lu, Zhenyu ; Liang, Shaoyang ; Yang, Qiang ; Du, Bo

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-21 [Periódico revisado por pares]

New York: IEEE

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5
Review of Image Classification Algorithms Based on Convolutional Neural Networks
Review of Image Classification Algorithms Based on Convolutional Neural Networks
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Review of Image Classification Algorithms Based on Convolutional Neural Networks

Chen, Leiyu ; Li, Shaobo ; Bai, Qiang ; Yang, Jing ; Jiang, Sanlong ; Miao, Yanming

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4712 [Periódico revisado por pares]

Basel: MDPI AG

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6
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
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Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Peng, Shengliang ; Jiang, Hanyu ; Wang, Huaxia ; Alwageed, Hathal ; Zhou, Yu ; Sebdani, Marjan Mazrouei ; Yao, Yu-Dong

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.718-727

United States: IEEE

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An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset
An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset
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An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset

Zhang, Hongpo ; Huang, Lulu ; Wu, Chase Q. ; Li, Zhanbo

Computer networks (Amsterdam, Netherlands : 1999), 2020-08, Vol.177, p.107315, Article 107315 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

Gao, Shangce ; Zhou, Mengchu ; Wang, Yirui ; Cheng, Jiujun ; Yachi, Hanaki ; Wang, Jiahai

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.601-614

United States: IEEE

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9
Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis
Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis
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Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

Azamfar, Moslem ; Singh, Jaskaran ; Bravo-Imaz, Inaki ; Lee, Jay

Mechanical systems and signal processing, 2020-10, Vol.144, p.106861, Article 106861 [Periódico revisado por pares]

Berlin: Elsevier Ltd

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10
IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach
IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach
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IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach

Nistor, Sergiu Cosmin ; Czibula, Gabriela

Expert systems with applications, 2022-01, Vol.187, p.115945, Article 115945 [Periódico revisado por pares]

New York: Elsevier Ltd

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