首页> 外国专利> 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

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

摘要

The present invention relates to a storage device that infers reading levels based on an artificial neural network model and a learning method of an artificial neural network. According to an embodiment of the present invention, the storage device comprises: a nonvolatile memory including a plurality of blocks; a buffer memory storing a plurality of on-cell counts and an artificial neural network model generated by reading memory cells connected to a plurality of reference word lines of the plurality of blocks by using a read level; and a controller inferring a plurality of read levels for reading data of the memory cells connected to a target word line by inputting an on-cell count of a target block among the plurality of on-cell counts and a target word line number of the target block to the artificial neural network model.
机译:本发明涉及一种基于人工神经网络模型来推断阅读水平的存储设备以及一种人工神经网络的学习方法。根据本发明的实施例,该存储设备包括:包括多个块的非易失性存储器;以及存储在存储器中的非易失性存储器。缓冲存储器,其存储多个单元计数和通过使用读取电平来读取连接至多个块的多个参考字线的存储单元而生成的人工神经网络模型;控制器,其通过输入多个上单元计数和目标的目标字线号中的目标块的单元计数,来推断用于读取与目标字线连接的存储单元的数据的多个读取电平。阻止人工神经网络模型。

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