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- pivoting least squares 选主元最小二乘
- Least squares in linear models II. 线性模型中的最小二乘法2。
- Exe-Using least squares algorithm on Multi-times curve fitting. 最小二乘法多次曲线拟合。
- The lines shown in these figures were fitted by the method of least squares. 这些图中的相关线是通过最小二乘法得到的。
- C1 is obtained using the least square method. C1 被获得使用最没有正直的方法。
- Algorithm gor least square fit curve. 最小二乘法拟合曲线的算法-
- Firstly, the general 3-dimentsional localization problem as a least squares problem on the Euclidean group is stated. 首先,提出了广义三维定位问题作为一个欧几里德群上的最小二差乘问题。
- Abstract: A new method based on the total least squares is proposed for sinusoidal retrieval. 文摘:本文提出了一种提取噪声中正弦信号的总体最小二乘方法。
- The method involves principal components analysis, phase space reconstruction and least squares estimate. 方法包括3部分：主分量分析，相空间重构，最小二乘拟合。
- Multiway kernel partial least squares(MKPLS) can be used for modeling and optimal control of batch processes. 采用多向核偏最小二乘（MKPLS）方法建立间歇过程的模型并进行操作条件的优化。
- The Principle of the least squares method is applied to the static calibration of strain guage balances. 本文将最小二乘法原理应用于应变式天平的静校。
- A fast learning hybrid algorithm of feedforward neural networks based on the regularized least squares is presented. 提出一种基于正则化最小二乘的前向神经网络快速学习的混合算法。
- A method is proposed to construct sparse least squares support vector machines (LSSVMs). 摘要提出一种构造稀疏化最小二乘支持向量机的方法。
- An algorithm was constructed to solve the least squares bisymmetric solution of a class of matrix equation. 摘要构造了一种迭代法求一类矩阵方程的最小二乘双对称解。
- In each cluster, the parameters of submodel are obtained by the weighted least squares method. 以隶属度为权值，采用加权最小二乘算法提高子模型辨识精度；
- Then the more precise initial parameters could be obtained with a computationally attractive least squares method. 应用最小二乘法，得到较为精确的参数初始值；
- She met his father's appeal none the less squarely. 她还是毫不妥协地面对父亲的呼吁。
- Adaptive and Iterative Least Squares Support Vector Regression Based on Quadratic Renyi Entropy. Jingqing Jiang(姜静清) ; Chuyi Song ; Haiyan Zhao ; Chunguo Wu and Yanchun Liang.
- Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate. 结果表明,这种方法改善了最小二乘回归中的多重共线性问题,具有实用价值。
- The ordinary Least Squares Estimate (LSE) in linear regression model is not robust for many cases. 摘要在线性回归模型中普通的最小二乘估计(LSE)许多情形下是不稳健的。
