“MSB”是“Mean Square Between ....”的缩写,意思是“中间的均方…”

DOSSK2024-06-13  8


    英语缩略词“MSB”经常作为“Mean Square Between ....”的缩写来使用,中文表示:“中间的均方…”。本文将详细介绍英语缩写词MSB所代表英文单词,其对应的中文拼音、详细解释以及在英语中的流行度。此外,还有关于缩略词MSB的分类、应用领域及相关应用示例等。
    “MSB”(“中间的均方…)释义
  • 英文缩写词:MSB
  • 英文单词:Mean Square Between ....
  • 缩写词中文简要解释:中间的均方…
  • 中文拼音:zhōng jiān de jūn fāng
  • 缩写词流行度:2888
  • 缩写词分类:Academic & Science
  • 缩写词领域:Mathematics

    以上为Mean Square Between ....英文缩略词MSB的中文解释,以及该英文缩写在英语的流行度、分类和应用领域方面的信息。
     英文缩略词MSB的扩展资料
  1. A measure of cultivar general superiority for cultivar × environmentdata is defined as the distance mean square between the cultivar's response and the maximum response aver-aged over all locations.
        优度估计。对品种×环境资料算出的品种总优势度,定义为通过全部试点中平均的品种响应值与最大响应值间的距离均方。
  2. The mean relative errors and the root mean square error between simulated values and measured values of air temperature were 4.47 % and 1.34 ℃ under non-ventilation conditions.
        不通风状况下,利用CFD方法得到的气温模拟值与实测值之间的平均相对误差和均方根误差分别为4.47%和1.34℃,模拟结果与实测结果吻合良好。
  3. The root mean square deviation between the model calculation result and measured value of air temperature is less than 1 ℃, because different factors such as urban layout, street runs and vegetative coverage are fully taken into account.
        由于模型全面地考虑了城市布局、街道走向、植被覆盖率等多种因素,CTTC和STTC数学解析模型的计算结果与空气温度实测值的均方根误差小于1℃。
  4. BP neural network model is the most widely used category in neural networks. It gets the minimum mean square difference between actual output and the desired output through gradient algorithm, and reverse flow and amend errors.
        BP神经网络模型是阶层型神经网络中使用最广泛的一类,它通过迭代梯度算法求解前馈网络的实际输出与期望输出之间的最小均方差值,并能反向传递和修改误差。
  5. The algorithm will ensure that the sample mean square difference between the output of the adaptive controller and the output of the optimal controller converges to zero under the general assumptions.
        在通常假设条件下使用这种算法,能使适应控制器和最优控制器的输出之差在样本均方意义下收敛到零。

    上述内容是“Mean Square Between ....”作为“MSB”的缩写,解释为“中间的均方…”时的信息,以及英语缩略词MSB所代表的英文单词,其对应的中文拼音、详细解释以及在英语中的流行度和相关分类、应用领域及应用示例等。
    
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