Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data

Fei Ye

doi:10.1371/journal.pone.0188746

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Open Access

Peer-reviewed

Research Article

Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data

Fei Ye

Roles Conceptualization, Data curation, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: 122404504@qq.com

Affiliation School of information science and technology, Southwest Jiaotong University, ChengDu, China

http://orcid.org/0000-0002-5894-2178

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Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data

Fei Ye

Published: December 13, 2017
https://doi.org/10.1371/journal.pone.0188746

About the Authors

Fei Ye

Roles Conceptualization, Data curation, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: 122404504@qq.com

Affiliation School of information science and technology, Southwest Jiaotong University, ChengDu, China

http://orcid.org/0000-0002-5894-2178

Competing Interests

The authors have declared that no competing interests exist.

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Algorithms
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Neural networks
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Optimization
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Deep learning
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Machine learning algorithms
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Neurons
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Machine learning
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Inertia
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