Complex-valued Neural Networks

• Hirose Akira

  Department of Electrical Engineering and Information Systems, The University of Tokyo

Bibliographic Information

Other Title

• 複素ニューラルネットワーク
• フクソ ニューラル ネットワーク

Abstract

This paper reviews the features and applications of complex-valued neural networks (CVNNs). First we list the present application fields, and describe the advantages of the CVNNs in two application examples, namely, an adaptive plastic-landmine visualization system and an optical frequency-domain-multiplexed learning logic circuit. Then we briefly discuss the features of complex number itself to find that the phase rotation is the most significant concept, which is very useful in processing the information related to wave phenomena such as lightwave and electromagnetic wave. The CVNNs will also be an indispensable framework of the future microelectronic information-processing hardware where the quantum electron wave plays the principal role.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 131 (1), 2-8, 2011

  The Institute of Electrical Engineers of Japan

Keywords

• Complex amplitude
• wave
• coherence
• radar
• optical computing
• quantum device

Details

• CRID: 1390001204607122176
• NII Article ID: 10027636414
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.131.2
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 10929260
• Web Site: http://id.ndl.go.jp/bib/10929260
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10929260
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/131/1/131_1_2/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed