Journal of Jilin University (Information Science Edition) ›› 2019, Vol. 37 ›› Issue (2): 127-133.

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Review for Image Processing of Memristive Neural Networks

GAO Hongyu1a,1b,HUANG Wenli1a,1b,DONG Hongli1a,1b,LI Jiahui1a,1b,WU Yumo2   

  1. 1a. Institute of Complex Systems and Advanced Control; 1b. Heilongjiang Provincial Key Laboratory of
    Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,China;
    2. School of Mathematics and Statistics,Northeast Normal University,Changchun 130024,China
  • Received:2018-09-14 Online:2019-03-25 Published:2019-06-10

Abstract: Memristive neural networks can effectively improve the complexity of traditional neural network circuits,the difficulty of integration and high energy consumption. Membrane,memristive neural networks and the application of current memristive neural networks in image processing are summarized. Based on the memristive property,the dynamic variable of the neural network synapse is realized,which makes the memristive neural networks having more advantages and wider application range than the traditional neural networks in the field of image processing. The future development prospects of memristive neural networks are forecasted.

Key words: memristor, memristor neural network, image processing

CLC Number: 

  • TP83