Two-dimensional memristive CNN for sequence recognition
Stanisław Jankowski , Zbigniew Szymański , Zbigniew M. Wawrzyniak
AbstractThe 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.
|Publication size in sheets||0.65|
|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.|
|Keywords in English||cellularneural network, delayed template, memristor, sequence recognition|
|project||Creating 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
|Score|| = 15.0, 07-05-2019, ChapterFromConference|
= 15.0, 07-05-2019, ChapterFromConference
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