忆阻神经网络图像处理综述

Review for Image Processing of Memristive Neural Networks

忆阻神经网络能有效改善传统神经网络电路复杂、不易集成以及能耗大等不足。概述了忆阻器与忆阻神经网络,以及目前忆阻神经网络在图像处理方面的应用。基于忆阻特性,实现神经网络突触的动态可变,使忆阻神经网络比传统神经网络在图像处理领域具备更多优势且应用范围更广。同时,展望了忆阻神经网络未来发展前景。

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.