查询词典 squares

It is antinomy to analysis factor effects according to first and second order term index of quadratic polynomial,so this paper put forward a new method to explain and evaluate factor effect by F test based on partial regression sum of squares.

传统的二次多项式回归方程在依系数正负、大小解释各因子效应时，常出现一次项与二次项结果相互矛盾的情形，而一般的SVR模型又不具解释性；本文从偏回归分析定义出发，建立了基于SVR以F测验解释、评价各因子相对重要性的方法。

Used regression sum of squares to get the F-test statistic in order to test the random effect, the power of the test is increasing function of the test variance.

通过残差平方和构造了F检验统计量对是否有随机效应进行检验，并得出了检验的势函数是检验方差的增函数。

The basical ideas, arithmatic methods and applied conditions of reduction of partial least squares and discrete wavelet transformation, logitboost, random forests and fuzzy kendal discriminate analysis of microarray gene expression data, ordinal discriminate analysis of time series multivariate data and varied-coefficient-logistic-regression-model discriminate analysis of the data with varied regular pattern in itself.

本文对医学领域中判别分析方法的新进展做一综述，介绍了微阵列基因表达数据判别分析中偏最小二乘法降维、离散小波变换法降维、logitboost算法、随机森林、模糊核判别分析以及时间序列多元数据有序判别分析法、自身有变化规律数据的变系数logistic回归模型判别分析法的基本思想、算法和适用条件。

In this paper, we discuss the computational stability of two kinds of algorithms for solving Least-Squares problem, the normal equation method and the orthogonal decomposition methdd, and show that we can get better performance in Jater case in this aspect.

其一是基于正则方程的递推求解方法，这是目前各种自适应算法的基础；另一是正交分解算法。后者的计算稳定性要比前者高。研究了一种基本的正交分解自适应算法，并指出，如果初始条件恰当，它将得到和批处理同样的结果。

This algorithm is to use orthogonal polynomials to seek least-squares polynomial fitting.

详细说明：该算法是用正交多项式来求最小二乘拟合多项式。

To deal with data containing time drift, orthogonal polynomials fitting instead of least squares method is used.

研究了一种适用于这种过程的数据处理方法，利用权函数为1的特殊正交多项式做最佳平方逼近，从而避免求解病态方程组，得到较好的处理结果。

The multi point-fitting criterion model is built based on n-rank polynomials and orthogonal function least squares fitting criterion.

用n次多项式与基于正交函数的最小二乘拟合法，分别建立多点拟合模型。

Differential Evolution Orthogonal Least Square algorithm for RBF network is presented,a hybrid algorithm blending Orthogonal Least Squares method with Differential Evolution algorithm.

研究用于径向基函数网络训练的一种微分进化正交最小二乘算法。

The total least squares based on singular value decomposition is a method of solving an overdetermined system of linear equations that is appropriate when there are errors in both and .

摘 要：全最小二乘法是一种解决超定线性系统的方法，它基于奇异值分解，适用于当和都存在误差的时候。

Distinct from those methods, this paper's main idea is to reformulate CPs as an unconstrained minimization problem with the form of least squares of a system of overdetermined equations being equivalent to the CPs.

与这些方法不同，本文的基本思想是借助互补问题与某个超定方程组同解的事实，利用该方程组的最小二乘形式将原问题直接转化为无约束优化问题，这样不仅把问题转化为光滑优化问题，而且避免了引入光滑参数导致的不便。

According to the clear water experiment, aeration performance of the new equipment is good with high total oxygen transfer coefficient and oxygen utilization ratio.

曝气设备的动力效率在叶轮转速为120rpm～150rpm时取得最大值，此时氧利用率和充氧能力也具有较高值。

The environmental stability of that world - including its crushing pressures and icy darkness - means that some of its most famous inhabitants have survived for eons as evolutionary throwbacks, their bodies undergoing little change.

稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世，形体几无变化。