Evolutionary neural networks for deep learning: a review-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evolutionary neural networks for deep learning: a review

Published:2022-06-10 Issue:10 Volume:13 Page:3001-3018
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Ma Yongjie^ORCID,Xie Yirong

Funder

National Natural Science Foundation of China

Northwest Normal University young teachers' scientific research capability upgrading program

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-022-01578-8.pdf

Reference167 articles.

1. Hinton GE, Salakhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313(5786):504–507

2. Yang F, Zhang L, Yu S et al (2020) Feature pyramid and hierarchical boosting network for pavement crack detection. IEEE Trans Intell Transp Syst 21(4):1525–1535

3. Guo Y, Liu Y, Oerlemans A et al (2016) Deep learning for visual understanding: a review. Neurocomputing 187:27–48

4. Ahmad F, Abbasi A, Li J et al (2020) A deep learning architecture for psychometric natural language processing. ACM Trans Inf Syst (TOIS) 38(1):1–29

5. Knoll F, Hammernik K, Yi Z (2019) Assessment of the generalization of learned image reconstruction and the potential for transfer learning. Magn Reson Med 81(1):116–128

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unveiling the Metaverse;Advances in Computer and Electrical Engineering;2024-07-26

2. Evolutionary neural networks for learning turbulence closure models with explicit expressions;Physics of Fluids;2024-05-01

3. Evolutionary Neural Architecture Search and Its Applications in Healthcare;Computer Modeling in Engineering & Sciences;2024

4. A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes;SSRN Electronic Journal;2024

5. Inter-layer transition in neural architecture search;Pattern Recognition;2023-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3