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预报器的英文

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"预报器"怎么读用"预报器"造句

英文翻译手机手机版

  • predictor

例句与用法

  • They also measured handgrip strength , a predictor of future disability
    他们也测量了握力,这是将来失能的一个预报器
  • This predictor has a high prediction speed , and the false alarm rate and missing alarm rate can be adjusted randomly . the method is simply and universalizable
    同时该预报器还具有速度快、误检率和漏检率可人为调整的特点;设计方法简单。
  • Domestic airline travel in november was the best predictor of the speed of influenza spread , the researchers found , although influenza infections and deaths usually peak in late february
    11月的国内航班旅行是流感传播速度的最好预报器,研究者发现虽然流感传染和死亡在二月底是高峰期
  • Domestic airline travel in november was the best predictor of the speed of influenza spread , the researchers found , although influenza infections and deaths usually peak in late february
    研究人员发现,虽然流感的感染和死亡高发期是2月,但是11月的国内航班的客流量是流感传播速度最好的预报器
  • No significant differences were found for the validity of the ability tests , and when peer ratings were used as predictors , only 16 out of 84 pairs of validity coefficients showed a statistically significant fifference
    能力测试的有效性并无显著差异,当同等级别被设置为预报器时,在84对有效系数之外,仅有16对有效系数显示差异显著。
  • Neutral network can learn from examples and has a strong ability of studying . however , it is a set of no models . to make neutral network " s results satisfied , it needs a lot of trained data
    神经网络可以从例子中学习,具有很强的自适应学习能力,但由于神经网络模型是无模型的预报器,因此要使学习结果满意,需要很多数据进行训练。
  • Applications of their to self - tuning filtering are given , where the steady - state kalman tracking filter with the position and velocity measurements , and multivariable self - tuning tracking predictor , filter and smoother are presented
    给出了它们在自校正滤波中的一些应用。其中包括带位置和速度观测的稳态kalman跟踪滤波器和多变量自校正跟踪预报器、滤波器和平滑器。
  • Then , because of the characteristic of complex engineering systems like fighters , such as modeling difficulty , multiplicity work situations , difficulty and expensiveness for test , a new kind of fast fault predictor is designed based on an improved k - nearest neighbor method , which neither need math model of system nor need data for train and knowledge
    其次,针对歼击机等复杂工程系统建模困难、工作情况多样、试验困难且代价高昂的特点,提出了一种改进k近邻密度估计方法,设计了一种完全既不需要系统数学模型也不需要故障训练数据和先验知识的实时故障预报器
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