计算机科学
胶囊
自适应路由
卷积神经网络
人工神经网络
人工智能
编译程序
计算机网络
布线(电子设计自动化)
程序设计语言
路由协议
动态源路由
植物
生物
作者
Zengguo Sun,Guodong Sun,Rafał Scherer Guodong Zhao,Wei Wei Rafał Scherer,Marcin Woźniak
出处
期刊:Journal of Internet Technology
[Angle Publishing Co., Ltd.]
日期:2022-01-01
卷期号:23 (1): 033-044
被引量:9
标识
DOI:10.53106/160792642022012301004
摘要
<p>As a vector transmission network structure, the capsule neural network has been one of the research hotspots in deep learning since it was proposed in 2017. In this paper, the latest research progress of capsule networks is analyzed and summarized. Firstly, we summarize the shortcomings of convolutional neural networks and introduce the basic concept of capsule network. Secondly, we analyze and summarize the improvements in the dynamic routing mechanism and network structure of the capsule network in recent years and the combination of the capsule network with other network structures. Finally, we compile the applications of capsule network in many fields, including computer vision, natural language, and speech processing. Our purpose in writing this article is to provide methods and means that can be used for reference in the research and practical applications of capsule networks.</p> <p> </p>
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