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STORAGE DEVICE INFERRING READ LEVELS BASED ON ARTIFICIAL NEURAL NETWORK MODEL AND LEARNING METHOD OF ARTIFICIAL NEURAL NETWORK MODEL
STORAGE DEVICE INFERRING READ LEVELS BASED ON ARTIFICIAL NEURAL NETWORK MODEL AND LEARNING METHOD OF ARTIFICIAL NEURAL NETWORK MODEL
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机译：基于人工神经网络模型的存储设备推断阅读水平及人工神经网络模型的学习方法
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摘要
A storage device includes a non-volatile memory including a plurality of blocks, a buffer memory that stores a plurality of on-cell counts, which are generated by reading memory cells connected to a plurality of reference word lines of the plurality of blocks by using a read level, and an artificial neural network model, and a controller that inputs an on-cell count corresponding to a target block among the plurality of on-cell counts and a number of a target word line of the target block to the artificial neural network model, and infers a plurality of read levels for reading data of memory cells connected to the target word line using the artificial neural network model.
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