Resistive Memory-Based Analog Synapse: The Pursuit for Linear and Symmetric Weight Update
IEEE Nanotechnology Magazine(2018)
摘要
This article reviews the recent developments in a type of random access memory (RAM) called resistive RAM (RRAM) for the analog synapse, which is an important building block for neuromorphic computing systems. To achieve high learning accuracy in an artificial neural network based on the backpropagation learning rule, a linear and symmetric weight update behavior of the analog synapse is critical....
更多查看译文
关键词
Random access memory,Resistive RAM,Bio-inspired computing,Artificial neural networks,Random access memory,Neural networks
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络