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RELIABILITY ASSESSMENT DEVICE AND RELIABILITY ASSESSMENT METHOD

机译:可靠性评估装置和可靠性评估方法

摘要

A reliability evaluation device includes: a training data storing unit (102) for storing training data constituted by a set of data and a label, the label being information relating to the data and assigned to identify an object to be identified; a learning unit (103) for performing a dropout process on a neural network model to be learned by applying a preset dropout parameter, repeating learning for classifying the label by using the training data, and performing iterative learning until the learning converges; a model reconstructing unit (105) for reconstructing a learned model in accordance with the dropout parameter and generating a plurality of different reconstructed models, the learned model being a neural network model for which the iterative learning has converged; an identification unit (107) for identifying the training data by using the generated reconstructed models, and estimating a label for each of the reconstructed models; and a classification determining unit (109) for evaluating a label of the training data on the basis of the estimated labels, and classifying the label of the training data.
机译:可靠性评估装置包括:用于存储由一组数据和标签构成的训练数据的训练数据存储单元(102),该标签是与数据有关的信息并分配以识别要识别的对象;一种学习单元(103),用于通过应用预设的丢弃参数来学习在神经网络模型上进行辍学过程,重复学习来通过使用训练数据来对标签进行分类,并执行迭代学习,直到学习收敛;模型重建单元(105),用于根据丢弃参数重建学习模型并生成多个不同的重建模型,学习模型是迭代学习融合的神经网络模型;用于通过使用生成的重建模型来识别训练数据的识别单元(107),并为每个重建模型估计标签;和分类确定单元(109),用于根据估计的标签评估培训数据的标签,以及对培训数据的标签进行分类。

著录项

  • 公开/公告号EP3926545A1

    专利类型

  • 公开/公告日2021-12-22

    原文格式PDF

  • 申请/专利权人 MITSUBISHI ELECTRIC CORPORATION;

    申请/专利号EP20190921610

  • 发明设计人 FUJINO TOMOYA;

    申请日2019-03-26

  • 分类号G06N3/08;

  • 国家 EP

  • 入库时间 2022-08-24 22:57:33

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