Method of controlling operation of nonvolatile memory device using machine learning and storage system
US11189358B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2020 |
| Grant date | Nov 30, 2021 |
| Priority date | — |
| Expiry date | Jul 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11C2029/4402
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to a method of controlling an operation of a nonvolatile memory device using machine learning, operating conditions of the nonvolatile memory device are determined by performing an inferring operation using a machine learning model. Training data that are generated based on feature information and error information are collected, where the error information indicate results of error correction code (ECC) decoding of the nonvolatile memory device. The machine learning model is updated by performing a learning operation based on the training data. Optimized operating conditions for individual user environments are provided by collecting training data in the storage system and performing the learning operation and the inferring operation based on the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.