网络均方根误差 网络释义 1. 均方根误差 ... of the restored image)以及均方根误差(the mean square error)。 www.16kan.com|基于5个网页 例句
aStandard Deviation,也称mean square error,是各数据偏离平均数的距离的平均数,它是离均差平方和平均后的方根,用σ表示。标准差是方差的算术平方根。标准差能反映一个数据集的离散程度。平均数相同的,标准差未必相同。 Standard Deviation, also called mean square error, is various data deviation mean value dis...
The most pervasive of these performance measures are based upon squared prediction errors, although the specific prediction error used in adaptation often depends upon the particular algorithm. Two broad categories of adaptive signal processing methods are: (1) stochastic and (2) exact. The latter ...
[translate] aand then create a new niche 然后创造一个新的适当位置[translate] aDepending on the application, the error metric is either the mean square error or the misclassification error. 根据应用,错误公尺是中误差或错误分类错误。[translate]...
[translate] aThe error back-propagation algorithm is used to train the network, using the mean-square error over the training samples as the objective function. 错误传播算法用于使用均方错误训练网络,在训练样品作为目标函数。 [translate] 英语翻译 日语翻译 韩语翻译 德语翻译 法语翻译 俄语翻译 阿拉伯语...
(Math. Phys.)the error the square of which is the mean of the squares of all the errors; - called also,mean square deviation,mean error. See also:Mean Webster's Revised Unabridged Dictionary, published 1913 by G. & C. Merriam Co. ...
Moreover, determine the expected quadratic prediction error E(Y−d(X))2 for the best predictor d(X) of Y based on X. Relevant Equations The best predictor is the conditional expectation, i.e. h(X)=E(Y∣X). What troubles me about this exercise is that I don't get the answer ...
erent predictions of the true (but unknown) mapping function value f (x0) is the mean square error (MSE). The unknown in the above discussion is the speci?c function mapping function f (·) which can be obtained via di?erent methods many of which are discussed in the book. In ...
(1) Root mean square error (RMSE). This index means that the more RMSE, the5个回答 (1)均方根误差(RMSE)。该指数意味着更多的RMSE,2013-05-23 12:21:38 回答:匿名 (1)根均方误差(rmse)。 这一指数意味着更多rmse,2013-05-23 12:23:18 回答:匿名...
In this paper we present the $L^2$-estimation for the kernel $K_n$ of the remaider term for the Gaussian quadrature with respect to one of four Chebyshev weight functions and the error bound of the type on the contour $$ R_n(f)\leq \frac{2\pi}{\sqrt{l(\Gamma)}} max_{z\in...