Particle swarm optimization of deep neural networks architectures for image classification

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2019.05.010 ◽

2019 ◽

Vol 49 ◽

pp. 62-74 ◽

Author(s):

Francisco Erivaldo Fernandes Junior ◽

Gary G. Yen

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Image Classification ◽

Deep Neural Networks ◽

Particle Swarm ◽

Swarm Optimization

Download Full-text

Evolving deep neural networks by multi-objective particle swarm optimization for image classification

Proceedings of the Genetic and Evolutionary Computation Conference ◽

10.1145/3321707.3321735 ◽

2019 ◽

Author(s):

Bin Wang ◽

Yanan Sun ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Image Classification ◽

Deep Neural Networks ◽

Particle Swarm ◽

Swarm Optimization ◽

Multi Objective

Download Full-text

Cognitive Deep Neural Networks prediction method for software fault tendency module based on Bound Particle Swarm Optimization

Cognitive Systems Research ◽

10.1016/j.cogsys.2018.06.001 ◽

2018 ◽

Vol 52 ◽

pp. 12-20 ◽

Author(s):

Wang Geng

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Deep Neural Networks ◽

Particle Swarm ◽

Prediction Method ◽

Swarm Optimization ◽

Download Full-text

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification

2018 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2018.8477735 ◽

2018 ◽

Author(s):

Bin Wang ◽

Yanan Sun ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Image Classification ◽

Convolutional Neural Networks ◽

Particle Swarm ◽

Variable Length ◽

Deep Convolutional Neural Networks ◽

Swarm Optimization

Download Full-text

PSO-PS:Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9207698 ◽

2020 ◽

Author(s):

Qing Ye ◽

Yuxuan Han ◽

Yanan Sun ◽

Jiancheng Lv

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Deep Neural Networks ◽

Particle Swarm ◽

Swarm Optimization ◽

Distributed Training

Download Full-text

A Novel Hybrid Analog Design Optimizer with Particle Swarm Optimization and modern Deep Neural Networks

2019 International SoC Design Conference (ISOCC) ◽

10.1109/isocc47750.2019.9027647 ◽

2019 ◽

Author(s):

Ahmed Elsiginy ◽

Mohamed Elmahdy ◽

Eman Azab

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Deep Neural Networks ◽

Particle Swarm ◽

Analog Design ◽

Swarm Optimization

Download Full-text

Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification

IEEE Access ◽

10.1109/access.2021.3052489 ◽

2021 ◽

Vol 9 ◽

pp. 14369-14386

Author(s):

Tom Lawrence ◽

Li Zhang ◽

Chee Peng Lim ◽

Emma-Jane Phillips

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Image Classification ◽

Convolutional Neural Networks ◽

Particle Swarm ◽

Swarm Optimization

Download Full-text

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

PLoS ONE ◽

10.1371/journal.pone.0188746 ◽

2017 ◽

Vol 12 (12) ◽

pp. e0188746 ◽

Author(s):

Fei Ye

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Large Scale ◽

Deep Neural Networks ◽

High Dimensional Data ◽

Particle Swarm ◽

Parameter Selection ◽

High Dimensional ◽

Swarm Optimization ◽

Download Full-text

Deep Neural Networks Hyperparameter Optimization Using Particle Swarm Optimization for Detecting Frauds Transactions

Advances on Smart and Soft Computing - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-16-5559-3_42 ◽

2021 ◽

pp. 507-516

Author(s):

Mohammed Tayebi ◽

Said El Kafhali

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Deep Neural Networks ◽

Particle Swarm ◽

Hyperparameter Optimization ◽

Swarm Optimization

Download Full-text

Hierarchical symbolic analysis and particle swarm optimization based fault diagnosis model for rotating machineries with deep neural networks

Measurement ◽

10.1016/j.measurement.2020.108771 ◽

2021 ◽

Vol 171 ◽

pp. 108771

Author(s):

R. Saravanakumar ◽

N. Krishnaraj ◽

S. Venkatraman ◽

B. Sivakumar ◽

S. Prasanna ◽

...

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Deep Neural Networks ◽

Particle Swarm ◽

Symbolic Analysis ◽

Swarm Optimization ◽

Diagnosis Model ◽

Rotating Machineries

Download Full-text

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization

Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17 ◽

10.1145/3067695.3084211 ◽

2017 ◽

Author(s):

Pablo Ribalta Lorenzo ◽

Jakub Nalepa ◽

Luciano Sanchez Ramos ◽

José Ranilla Pastor

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Deep Neural Networks ◽

Particle Swarm ◽

Parameter Selection ◽

Swarm Optimization ◽

Parallel Particle Swarm Optimization

Download Full-text