Masaki Abe, Toshiki Nakamura, K. Takeuchi
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引用次数: 3
3D-TLC NAND闪存的出货前数据保留/读取干扰寿命预测和售后单元错误检测和校正神经网络
提出了两种用于3D-TLC (Triple-Level Cell) NAND闪存的神经网络(NN)技术。1)预测出货前测试中芯片分拣的数据保留/读干扰寿命。2)发现并纠正售后的错误。首先,在出货前测试中,基于神经网络的寿命预测(NNLP)预测ECC解码失败率(EDFR)并估计数据保留/读取干扰寿命。基于预测寿命,NNLP对NAND闪存进行分类。其次,在售后市场,基于神经网络的错误检测(NNED)可以检测和纠正错误。NNED将误码率降低了81.4%。
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