
基本信息:
- 专利标题: Deep Learning Neural Network Classifier Using Non-volatile Memory Array
- 申请号:US15594439 申请日:2017-05-12
- 公开(公告)号:US20170337466A1 公开(公告)日:2017-11-23
- 发明人: Farnood Merrikh Bayat , Xinjie Guo , Dmitri Strukov , Nhan Do , Hieu Van Tran , Vipin Tiwari , Mark Reiten
- 申请人: Silicon Storage Technology, Inc. , The Regents of the University of California
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06F3/06
摘要:
An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.
公开/授权文献:
IPC结构图谱:
G | 物理 |
--G06 | 计算;推算;计数 |
----G06N | 基于特定计算模型的计算机系统 |
------G06N3/00 | 基于生物学模型的计算机系统 |
--------G06N3/02 | .采用神经网络模型 |
----------G06N3/04 | ..体系结构,例如,互连拓扑 |