- 专利标题: AGGREGATE ADJUSTMENTS IN A CROSS BAR NEURAL NETWORK
-
申请号: US16100673申请日: 2018-08-10
-
公开(公告)号: US20200050929A1公开(公告)日: 2020-02-13
- 发明人: Effendi Leobandung , Zhibin Ren , SEYOUNG KIM , Paul Michael Solomon
- 申请人: International Business Machines Corporation
- 主分类号: G06N3/063
- IPC分类号: G06N3/063 ; G06N3/04
摘要:
Method, systems, crosspoint arrays, and systems for tuning a neural network. A crosspoint array includes: a set of conductive rows, a set of conductive columns intersecting the set of conductive rows to form a plurality of crosspoints, a circuit element coupled to each of the plurality of crosspoints configured to store a weight of the neural network, a voltage source associated with each conductive row, a first integrator attached at the end of at least one of the conductive column, and a first variable resistor attached to the integrator and the end of the at least one conductive column.
公开/授权文献
- US11250316B2 Aggregate adjustments in a cross bar neural network 公开/授权日:2022-02-15
信息查询