Polynomial regression analysis estimates the power mismatch while MILP optimization estimates optimal load combination for shedding. Furthermore, load priority (i.e., vital, non-vital, and semi-vital) is also considered to avoid disconnecting vital loads. Efficiency of the proposed scheme is evaluated...
The regression curves /ememrecorded for group 4 prove that the egg mass increases in the same time with /ememingestion up to the level of 19.83 g protein, 1069 mg lysine and 547 mg methionine, /ememand then it does not react anymore concomitantly with the increase of the lysine or /emem...
Polynomials are one of the most powerful functions that have been used in many fields of mathematics such as curve fitting and regression. Low order polynomials are desired for their smoothness, good local approximation and interpolation. Being smooth, they can be used to locally approximate almost...
To determine the fitting order of polynomial method in cycle slip detection,introduced the regression model significance test in determining the order of the polynomial.In the appropriate significance level,using a linear method of hypothesis testing,estimate the regression model parameters with hypothesis...
Probabilistic Load Forecasting of Adaptive Multiple Polynomial Regression considering Temperature Scenario and Dummy variables The monthly or yearly low accurate history data always leads to the low prediction-accuracy for load forecasting. We use temperature data from Sydney, Australia and the New South ...
Polynomial regression analyses were used to examine the patterns of responses for V[Combining Dot Above]O2 and velocity. The HBlim versus Tlim relationship (r = 0.995 - 1.000) was described by the linear equation: HBlim = a + CHR(Tlim). The CHR (176 ± 7 b·min, 91 ± 3% HRpeak)...
SVR-Poly represents the similarity of vectors (training samples) in a feature space over polynomials of the original variables, allowing learning of non-linear models. The feature space of a polynomial kernel is equivalent to that of polynomial regression. In the SVR-DTR, a decision tree ...
polynomial regression for obtaining the linear range of U-pro by the SPSS software.Results The CVof repeat test in the self-built test system was 1.59%,less than 2% which was ruled in the laboratory,the data were repeatable.After regression analysis on the data,the optimal model was the ...
Yang等人[55]为了找到一个合适的机器学习算法预测硅酸盐玻璃的杨氏模量, 分别应用多项式回归(Polynomial Regression, PR)、LASSO、随机森林(Random Forest, RF)和人工神经网络(ANN)的机器学习算法训练模型并预测数值. 对比发现, PR, LASSO, RF以及ANN都可以拟合成分与杨氏模量之间的非线性关系, 并且能够对杨氏模量值进...
Adaptive piecewise polynomial estimation via trend filtering We study trend filtering, a recently proposed tool of Kim et al. [SIAM Rev. 51 (2009) 339-360] for nonparametric regression. The trend filtering estimate i... Tibshirani,J Ryan - 《Annals of Statistics》 被引量: 190发表: 2013年 ...