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基于注意力SRU的离散制造过程生产异常分析
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作者 马云骁 郭宇 王胜博 《机械制造与自动化》 2024年第4期48-53,共6页
为了判断生产异常对生产过程产生何种影响,在对离散制造过程中产生的物联数据进行详细分析的基础上,设计一种基于注意力SRU神经网络的生产任务剩余完工时间预测模型,通过并行化的特征提取过程并结合注意力机制给予不同时刻信息不同权重... 为了判断生产异常对生产过程产生何种影响,在对离散制造过程中产生的物联数据进行详细分析的基础上,设计一种基于注意力SRU神经网络的生产任务剩余完工时间预测模型,通过并行化的特征提取过程并结合注意力机制给予不同时刻信息不同权重来对生产任务的延期交付时间进行预测,达到了解量化生产异常对于生产过程影响程度的目的,且有效提高了算法效率和准确率,从而帮助车间工作人员进行后续决策管控工作。 展开更多
关键词 离散制造过程 制造物联数据 生产异常分析 注意力机制 SRU神经网络
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Investigation of Red Meat Production in Turkey by ANOM Test
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作者 Senol Celik 《Journal of Agricultural Science and Technology(A)》 2017年第3期209-213,共5页
When comparing more than two groups means, the analysis of means (ANOM) can be used as an alternative to the one-way analysis of variance (ANOVA) F test. The ANOM provides a "confidence interval type of approach... When comparing more than two groups means, the analysis of means (ANOM) can be used as an alternative to the one-way analysis of variance (ANOVA) F test. The ANOM provides a "confidence interval type of approach" that allows it to determine which, if any, of the x groups has a significantly different mean from the overall average of all the group means combined. The aim of this study was to show the application of a statistical technique (ANOM), mostly used by agriculture, to determine differences between red meat production by period in Turkey. The production quantities of goat meat, mutton, buffalo meat and beef between the years 2010 and 2016 according to the period were taken from Turkish Statistical Institute (TSI). As a result, the difference between meat productions was found to be significant. 展开更多
关键词 ANOM test meat production period.
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