Invention Grant
- Patent Title: Method of training artificial intelligence to estimate sensing voltages for storage device
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Application No.: US16267398Application Date: 2019-02-05
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Publication No.: US10699799B2Publication Date: 2020-06-30
- Inventor: Hsiang-En Peng , Sheng-Han Wu
- Applicant: STORART TECHNOLOGY CO., LTD.
- Applicant Address: CN Shenzhen, Guangdong
- Assignee: STORART TECHNOLOGY (SHENZHEN) CO., LTD.
- Current Assignee: STORART TECHNOLOGY (SHENZHEN) CO., LTD.
- Current Assignee Address: CN Shenzhen, Guangdong
- Agency: Li & Cai Intellectual Property (USA) Office
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@2ab9af0
- Main IPC: G11C29/00
- IPC: G11C29/00 ; G11C29/50 ; G06F11/30 ; G06N20/00 ; G06N3/08

Abstract:
A method of training artificial intelligence to estimate sensing voltages for a storage device is provided, which includes steps of: supplying initial sensing voltages to memory units; defining various storing states; comparing threshold voltages of the memory units with the initial sensing voltages to classify the memory units; calculating a ratio of the number of the memory units in a strong correct region to the number of in the strong correct region and a weak correct region; calculating a ratio of the number of the memory units in a strong error region to the number of in the strong error region and a weak error region; calculating the number of the memory units in the weak correct and error regions to obtain a histogram parameter; inputting the ratios and parameter to an artificial intelligence neural network; and using machine learning to analyze practical sensing voltages.
Public/Granted literature
- US20200105361A1 METHOD OF TRAINING ARTIFICIAL INTELLIGENCE TO ESTIMATE SENSING VOLTAGES FOR STORAGE DEVICE Public/Granted day:2020-04-02
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