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Abrupt Variations of Attractors Caused by Argumental Discreteness in Non-Hermitian Associative Memories

Akira HIROSE

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Summary :

Abrupt variations of attractors caused by argumental discreteness in non-Hermitian complex-valued neural networks are reported. When we apply the complex-valued associative memories to dynamical processing, the weighting matrices are constructed as non-Hermitian in general so that they have motive force to the signal vectors. It is observed that competitions between argumental rotation force and noise-suppression ability of associative memories lead to trajectory distortions and abrupt variations of the attractors.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E76-A No.5 pp.777-779
Publication Date
1993/05/25
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section LETTER (Special Section on Neural Nets,Chaos and Numerics)
Category
Neural Nets--Theory and Applications--

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