Unsupervised Learning in Winner-Takes-All Neural Network Based on 3D NAND Flash
IEEE Electron Device Letters(2022)
摘要
Experimental demonstration of unsupervised learning is realized with charge-trapping 3D NAND flash device array. The charge-trapping characteristic of the memory cell is leveraged so that the devices perform not only as non-volatile memory but also synaptic cells in hardware neural network. Experiments reveal that the 3D NAND flash devices hold good potential for neuromorphic computing because of ...
更多查看译文
关键词
Neural networks,Three-dimensional displays,Training,Neurons,Flash memories,Unsupervised learning,Voltage
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要