Neural Networks from a Physical Perspective

Yifan Sun

doi:10.1109/ICSIDP47821.2019.9173208

Neural Networks from a Physical Perspective

Yifan Sun^*

^*此作品的通讯作者

物理学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The investigations on neural networks have attracted a broad interest from lots of research communities in recent years. The evidences of their advantage over traditional methods are found when they are applied to dealing with plenty of practical tasks. However, challenges still remain in the topics, such as understanding the mathematical reason of their effectiveness. Here, we review some of the recent works and present a new look on the neural network from a physical perspective.

源语言	英语
主期刊名	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781728123455
DOI	https://doi.org/10.1109/ICSIDP47821.2019.9173208
出版状态	已出版 - 12月 2019
活动	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国期限: 11 12月 2019 → 13 12月 2019

出版系列

姓名	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

会议

会议	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
国家/地区	中国
市	Chongqing
时期	11/12/19 → 13/12/19

访问文件

10.1109/ICSIDP47821.2019.9173208

其它文件与链接

链接到 Scopus 的出版物

引用此

Sun, Y. (2019). Neural Networks from a Physical Perspective. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 文章 9173208 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173208

@inproceedings{5483bf1a18514535adfc986171b92b49,

title = "Neural Networks from a Physical Perspective",

abstract = "The investigations on neural networks have attracted a broad interest from lots of research communities in recent years. The evidences of their advantage over traditional methods are found when they are applied to dealing with plenty of practical tasks. However, challenges still remain in the topics, such as understanding the mathematical reason of their effectiveness. Here, we review some of the recent works and present a new look on the neural network from a physical perspective.",

keywords = "approximation algorithm, classification, neural networks, optimization, quantum computing",

author = "Yifan Sun",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICSIDP47821.2019.9173208",

language = "English",

series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

address = "United States",

}

Sun, Y 2019, Neural Networks from a Physical Perspective. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019., 9173208, ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019, Chongqing, 中国, 11/12/19. https://doi.org/10.1109/ICSIDP47821.2019.9173208

Neural Networks from a Physical Perspective. / Sun, Yifan.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9173208 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Neural Networks from a Physical Perspective

AU - Sun, Yifan

PY - 2019/12

Y1 - 2019/12

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AB - The investigations on neural networks have attracted a broad interest from lots of research communities in recent years. The evidences of their advantage over traditional methods are found when they are applied to dealing with plenty of practical tasks. However, challenges still remain in the topics, such as understanding the mathematical reason of their effectiveness. Here, we review some of the recent works and present a new look on the neural network from a physical perspective.

KW - approximation algorithm

KW - classification

KW - neural networks

KW - optimization

KW - quantum computing

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U2 - 10.1109/ICSIDP47821.2019.9173208

DO - 10.1109/ICSIDP47821.2019.9173208

M3 - Conference contribution

AN - SCOPUS:85091955253

T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

Neural Networks from a Physical Perspective

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此