Autonomous ratio-memory cellular nonlinear network (ARMCNN) for pattern learning and recognition

Chung-Yu Wu*, Sn Ynng Tsai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A new type of CNN associative memory called the Autonomous ratio-memory Cellular Nonlinear Network (ARM-CNN) is proposed and analyzed. In the proposed ARMCNN, the input noisy patterns are sent into the cells as the initial cell state voltages. The proposed ARMCNN has the advantages of higher recognition rate (RR), higher number of learned and recognized patterns, and smaller signal ranges of cell state voltages. The RR of the ARMCNN is also modeled as the integration of the probability functions in the convergent regions of the phase plane plot of cell state voltages. Theoretical calculation results are consistent with simulation results.

Original languageEnglish
Title of host publicationProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
DOIs
StatePublished - 1 Dec 2006
Event2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 - Istanbul, Turkey
Duration: 28 Aug 200630 Aug 2006

Publication series

NameProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Conference

Conference2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
CountryTurkey
CityIstanbul
Period28/08/0630/08/06

Keywords

  • Cellular nonlinear network (CNN)
  • Ratiomemory (RM)

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    Wu, C-Y., & Tsai, S. Y. (2006). Autonomous ratio-memory cellular nonlinear network (ARMCNN) for pattern learning and recognition. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 [4145858] (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications). https://doi.org/10.1109/CNNA.2006.341618