- 专利标题: Neural networks and systems for decoding encoded data
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申请号: US16839447申请日: 2020-04-03
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公开(公告)号: US11416735B2公开(公告)日: 2022-08-16
- 发明人: Fa-Long Luo , Jaime Cummins , Tamara Schmitz
- 申请人: MICRON TECHNOLOGY, INC.
- 申请人地址: US ID Boise
- 专利权人: MICRON TECHNOLOGY, INC.
- 当前专利权人: MICRON TECHNOLOGY, INC.
- 当前专利权人地址: US ID Boise
- 代理机构: Dorsey & Whitney LLP
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; H03M13/11 ; H03M13/15 ; G06K9/62 ; G06F17/18 ; G06N3/08
摘要:
Examples described herein utilize multi-layer neural networks to decode encoded data (e.g., data encoded using one or more encoding techniques). The multi-layer neural networks include an encoder configured to encode input data using encoded bits in accordance with an encoding technique and to provide encoded input data, and a memory configured to receive the encoded input data from the encoder and configured to store the encoded input data. The multi-layer neural networks further include combiners configured to receive the encoded input data from the memory and further configured to combine the encoded input data among a set of predetermined weights. The combiners are further configured to provide encoded data with reduced noise, the noise introduced by the memory.
公开/授权文献
- US20200234103A1 NEURAL NETWORKS AND SYSTEMS FOR DECODING ENCODED DATA 公开/授权日:2020-07-23
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