网络均方和;样本方差即均方;均方差测度 网络释义 1. 均方和 ...GLM分析所得到的ANOVA表可知,以涉入程度的“均方和”(mean squares)值为最大,其次为产品类别,最后为品牌知名度与 … sbrsign.management.org.tw|基于11个网页 2. 样本方差即均方 ...析上有许多优点,而且不用开方,所以在方差分析中是用样本方差...
aI want to find out, only belong to my dependence. 我想要发现,只有属于我的依赖性。[translate] a2.Traineness are positive attitude seriously. 2.Traineness严重是积极态度。[translate] ai hope you don't mind 我希望您不介意[translate] aMean squares 均方[translate]...
Mean squares 青云英语翻译 请在下面的文本框内输入文字,然后点击开始翻译按钮进行翻译,如果您看不到结果,请重新翻译! 翻译结果1翻译结果2翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 平均平方 翻译结果2复制译文编辑译文朗读译文返回顶部...
Define mean square. mean square synonyms, mean square pronunciation, mean square translation, English dictionary definition of mean square. n. The average of the squares of a set of numbers. American Heritage® Dictionary of the English Language, Fifth
metric = registration.metric.MeanSquares This class has no properties. Create the optimizer configuration object. optimizer = registration.optimizer.RegularStepGradientDescent; Modify the optimizer configuration to get more precision. optimizer.MaximumIterations = 300; optimizer.MinimumStepLength = 5e-4; ...
In a previous paper (Bissell, 1989) some suggestions were offered for interpreting mean squares in saturated fractional designs where no independent estimate of experimental error is available. One of the methods leads to a simple numerical test of homogeneity which provides an objective accompaniment ...
1. The Least Mean Squares algorithm (LMS) SD研究的最陡下降方法是一种递归计算信号统计量已知时维纳滤波器的递归算法 (knowledge about R och p)。 问题是,这个信息通常是未知的! LMS是一种基于与最陡下降法相同的原理的方法,但其统计量是连续估计的。
noun :the mean of the squares of a set of values Examples ofmean squarein a Sentence Recent Examples on the Web Examples are automatically compiled from online sources to show current usage.Opinions expressed in the examples do not represent those of Merriam-Webster or its editors.Send us feed...
网络组间均方 网络释义 1. 组间均方 统计学英中词录 ... Mean square error 均方误差Mean squares between groups,组间均方Mean squares within group, 组内均 … www.china001.com|基于198个网页
Least Mean Squares Regression(一) 1. Examples 假设我们想从一辆汽车的重量和年龄来预测它的里程数: 我们想要的是:一个可以使用x1x1和x2x2来预测里程的function。 线性回归:利用线性模型预测连续值的策略 假设:输出是输入的线性函数 Mileage=w0+w1⋅x1+w2⋅x2Mileage=w0+w1⋅x1+w2⋅x2 学习:利用...