HpTPWzfWhEWNpvR4ty9sgCzFIj3rGcuK25Hi7TOoZWGex5bpUlwyXtG8JibC
Current position: Home >> Scientific Research >> Paper Publications

Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification

Hits:

Institution:人工智能学院

Title of Paper:Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification

Journal:NEUROCOMPUTING

First Author:Yangyang Li, Junjie Xiao, Yanqiao Chen, Licheng Jiao

Indexed by:Article

Document Code:SCI WOS:000482180200015

Volume:362

Page Number:156-165

ISSN:0925-2312

Translation or Not:No

Date of Publication:2019-10-14

Included Journals:EI、SCI

Date:2021-03-11

Prev One:Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels

Next One:Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation