网络最小自乘平均 网络释义 1. 最小自乘平均 ... Linear Model)程序进行变方分析,并以最小自乘平均(Least Squares Mean)检定处理平均间之差异显著性。 www.csas.org.tw|基于 1 个网页
afollowing modules 跟随的模块[translate] aDonne par les présentes, pouvoir à 由当前部分,容量给与[translate] aLeast Squares Mean Change 最小平方的卑鄙变动[translate]
Least-squares (LS) mean discrimination differential was greater for females who participated in trial pairings with identical morph SC trials than for females in trial pairings with dosage effect SC tria...
A new technique for the least-mean-squares (LMS) phase-unwrapping method is developed that incorporates the concept of branch cuts between phase singularities (residues), which are usually associated with the path-following gradient integration technique. These branch cuts are introduced by decomposition...
Least Squares Predictions and Mean-Variance Analysis 来自 EconPapers 喜欢 0 阅读量: 36 作者: Sentana,E. 摘要: We compare the Sharpe ratios of traders who combine one riskless and one risky asset following (i) buy and hold strategies; (ii) timing strategies with forecast 关键词: CiteSeerX ...
The mean QTcF was prolonged by moxifloxacin, of which largest time-matched difference from placebo administration was 13.6milliseconds with 90% confidence ... A Sugiyama,H Hashimoto,Y Nakamura,... - 《Journal of Clinical Pharmacology》 被引量: 23发表: 2014年 The Effect of Therapeutic and Supra...
recursive-least-squaresacoustic-echo-cancellationleast-mean-squares UpdatedMay 29, 2022 MATLAB melodiCyb/neural-networks Star7 Code Issues Pull requests Hopfield NN, Perceptron, MLP, Complex-valued MLP, SGD RMSProp, DRAW rmspropcomplex-valued-datarecursive-least-squareshopfield-neural-networkdeep-recurrent...
On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly faster than the normalized least-mean-squares (NLMS) algorithm generally used in echo cancelers to date. In PNLMS adaptation, the adaptation gain at each tap position varies from...
3.3.1 Least mean square (LMS) The LMS algorithm adjusts the filter parameters in order to minimize the mean squares error between the filter output signal and the expectations output signals. LMS is based on a steepest descent algorithm. The updated filter coefficient for LMS algorithm is given...
When the partial least squares regression (PLSR) models were estimated using all combinations of the three-year data, except for the model incorporating ... C Ryu,M Suguri,M Umeda - 《Biosystems Engineering》 被引量: 84发表: 2009年 A heuristic rating estimation algorithm for the pairwise comp...