Two-dimensional memristive CNN for sequence recognition
Conference: CNNA 2018 - The 16th International Workshop on Cellular Nanoscale Networks and their Applications
08/28/2018 - 08/30/2018 at Budapest, Hungary
Proceedings: CNNA 2018
Pages: 3Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Jankowski, Stanislaw; Szymanski, Zbigniew; Wawrzyniak, Zbigniew (Warsaw University of Technology, Warsaw, Poland)
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.