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
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 ...
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...
“Mean Square Error”, abbreviated as MSE, is an ubiquitous term found in texts on estimation theory. Have you ever wondered what this term actually means and why is this getting used in estimation theory very often ? Any communication system has a transmitter, a channel or medium to communic...
(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. ...
We revisit the famous Mack formula [2], which gives an estimate for the mean square error of prediction MSEP of the chain ladder claims reserving method: We define a time series model for the chain ladder method. In this time series framework we give an approach for the estimation of the...
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]
An upper bound is obtained on the mean-square error involved when a real-valued non-band-limited nonstationary random process x( t) is approximated by the sampling expansion ∑ n=∞ ∞x(nT) sinπ(tnT)/T π(tnT)/T for some T > 0. When the process x( t) is band-limited over [...
ERROR analysis (MathematicsPROBABILITIESDISTRIBUTION (Probability theoryRANDOM variablesCORRECTIVE advertisingINSURANCESQUARE rootFormulas for the variance of the uniformly minimum variance unbiased (UMVU) estimator, and of the mean square error (MSE) of the maximum likelihood (ML) estimator, of tail ...
The mean squared error is also known as MSE in abbreviated form, it is an estimator to measures the average of the squares of the errors. The formula for calculating mean squared error is; MSE=1n∑i=1n(yi−yi^)2 where yi^ is the predicted value....