中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Complex-Valued Neural Networks: A Comprehensive Survey

文献类型:期刊论文

作者ChiYan Lee; Hideyuki Hasegawa; Shangce Gao
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2022
卷号9期号:8页码:1406-1426
关键词Complex activation function complex backpropagation algorithm complex-valued learning algorithm complex-valued neural network deep learning
ISSN号2329-9266
DOI10.1109/JAS.2022.105743
英文摘要Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared to their real counterparts in speech enhancement, image and signal processing. Researchers throughout the years have made many efforts to improve the learning algorithms and activation functions of CVNNs. Since CVNNs have proven to have better performance in handling the naturally complex-valued data and signals, this area of study will grow and expect the arrival of some effective improvements in the future. Therefore, there exists an obvious reason to provide a comprehensive survey paper that systematically collects and categorizes the advancement of CVNNs. In this paper, we discuss and summarize the recent advances based on their learning algorithms, activation functions, which is the most challenging part of building a CVNN, and applications. Besides, we outline the structure and applications of complex-valued convolutional, residual and recurrent neural networks. Finally, we also present some challenges and future research directions to facilitate the exploration of the ability of CVNNs.
源URL[http://ir.ia.ac.cn/handle/173211/49650]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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ChiYan Lee,Hideyuki Hasegawa,Shangce Gao. Complex-Valued Neural Networks: A Comprehensive Survey[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(8):1406-1426.
APA ChiYan Lee,Hideyuki Hasegawa,&Shangce Gao.(2022).Complex-Valued Neural Networks: A Comprehensive Survey.IEEE/CAA Journal of Automatica Sinica,9(8),1406-1426.
MLA ChiYan Lee,et al."Complex-Valued Neural Networks: A Comprehensive Survey".IEEE/CAA Journal of Automatica Sinica 9.8(2022):1406-1426.

入库方式: OAI收割

来源:自动化研究所

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