Proceedings Paper
Closed multilayer dynamic neural network for pattern time sequence processing| Format | Member Price | Non-Member Price |
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Paper Abstract
A closed multilayer dynamic neural network, unlike a nonclosed one, can form infinite pattern sequences, both periodic and aperiodic. The closing enhances interactions between time pattern sequences and formation of new sequences. Methods of recording time sequences are considered; prospects of use are discussed.
Paper Details
Date Published: 7 December 1994
PDF: 9 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195592
Published in SPIE Proceedings Vol. 2430:
Optical Memory & Neural Networks '94: Optical Neural Networks
Andrei L. Mikaelian, Editor(s)
PDF: 9 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195592
Show Author Affiliations
Vladimir B. Kotov, Institute of Optical Neural Technologies (Russia)
Nickolay Yu Kulakov, Institute of Optical Neural Technologies (Russia)
Published in SPIE Proceedings Vol. 2430:
Optical Memory & Neural Networks '94: Optical Neural Networks
Andrei L. Mikaelian, Editor(s)
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