Two-dimensional memristive CNN for sequence recognition

Stanisław Jankowski , Zbigniew Szymański , Zbigniew M. Wawrzyniak

Abstract

The sequence pattern recognition can be performed by cellular neural network with delayed templates. The CNN with memristive cells can be applied directly without delays by direct exploration of memristor dynamics. The paper demonstrates the general idea by using the Bernoulli model of memristor. We demonstrate the examples of pixel movements that can be recognized by the trace of its past positions. Some general conditions must be satisfied as the pixel speed with respect to memristor dynamics.
Author Stanisław Jankowski (FEIT / IN)
Stanisław Jankowski,,
- The Institute of Computer Science
, Zbigniew Szymański (FEIT / IN)
Zbigniew Szymański,,
- The Institute of Computer Science
, Zbigniew M. Wawrzyniak (FEIT / PE)
Zbigniew M. Wawrzyniak,,
- The Institute of Electronic Systems
Pages13-15
Publication size in sheets0.65
Book Proceedings of the 16th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) and 6th Memristor and Memristive Symposium (MMS), 2018, Pazmany University ePress, ISBN 978-3-8007-4766-5, 151 p.
CNNA2018_Proceedings_short1.pdf / No licence information (file archived - login or check accessibility on faculty)
Keywords in Englishcellularneural network, delayed template, memristor, sequence recognition
URL https://ieeexplore.ieee.org/document/8470467
ProjectCreating a system for forecasting the development of crime, as an element of building a security strategy and public policy. Project leader: Wawrzyniak Zbigniew M., , Phone: +48 22 234 7738, application date 15-09-2015, start date 21-12-2015, end date 20-12-2018, ISE/2015/4/NCBiR/7-2015/Prokrym, Completed
WEiTI Projects financed by NCRD [Projekty finansowane przez NCBiR (NCBR)]
Languageen angielski
File
Wawrzyniak_Two-dimensional_CNNA2018.pdf 382.64 KB
Score (nominal)5
Score sourcepublisherList
ScoreMinisterial score = 5.0, 20-10-2019, ChapterFromConference
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