@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",
}