DocumentCode
1212628
Title
Dynamics of fully complex-valued neural networks
Author
Hirose, Akira
Author_Institution
Tokyo Univ., Japan
Volume
28
Issue
16
fYear
1992
fDate
7/30/1992 12:00:00 AM
Firstpage
1492
Lastpage
1494
Abstract
A novel neural network that processes input vectors and attractors fully in complex space using complex weights is proposed. Real and imaginary data are treated consistently with an equivalent significance in nondegenerate complex space. This network can be applied for ill-posed problems concerning realistic physical fields and continuous motion controls. The dynamics are presented and demonstrated.
Keywords
content-addressable storage; dynamics; neural nets; Hopfield associative memory; attractor processing; complex weights; continuous motion controls; dynamics; fully complex-valued neural networks; ill-posed problems; input vector processing; nondegenerate complex space; physical field reconstruction;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19920948
Filename
153204
Link To Document