Design of associative memories using cellular neural networks

  • Authors:
  • Alexandre C. B. Delbem;Leonardo Garcia Correa;Liang Zhao

  • Affiliations:
  • Institute of Mathematical and Computer Sciences-ICMC, University of Sao Paulo-USP, Postal 668, 13560-970 Sao Carlos, SP, Brazil;Institute of Mathematical and Computer Sciences-ICMC, University of Sao Paulo-USP, Postal 668, 13560-970 Sao Carlos, SP, Brazil;Institute of Mathematical and Computer Sciences-ICMC, University of Sao Paulo-USP, Postal 668, 13560-970 Sao Carlos, SP, Brazil

  • Venue:
  • Neurocomputing
  • Year:
  • 2009

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Abstract

Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequate for hardware implementation and, consequently, for their employment on a variety of applications as real-time image processing and construction of efficient associative memories. Adjustments of CNN parameters is a complex problem involved in the configuration of CNN for associative memories. This paper reviews methods of associative memory design based on CNNs, and provides comparative performance analysis of these approaches.