Neural Networks from a Physical Perspective

Yifan Sun

doi:10.1109/ICSIDP47821.2019.9173208

Neural Networks from a Physical Perspective

Yifan Sun^*

^*Corresponding author for this work

School of Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123455
DOIs	https://doi.org/10.1109/ICSIDP47821.2019.9173208
Publication status	Published - Dec 2019
Event	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

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

Conference

Conference	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/Territory	China
City	Chongqing
Period	11/12/19 → 13/12/19

Keywords

approximation algorithm
classification
neural networks
optimization
quantum computing

Access to Document

10.1109/ICSIDP47821.2019.9173208

Cite this

Sun, Y. (2019). Neural Networks from a Physical Perspective. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 Article 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

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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. in 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, China, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - approximation algorithm

KW - classification

KW - neural networks

KW - optimization

KW - quantum computing

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DO - 10.1109/ICSIDP47821.2019.9173208

M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Neural Networks from a Physical Perspective

Abstract

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Keywords

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