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- orthogonal least Square error 正交最小二乘法
- Combining the new measure with the forward regression orthogonal least square (OLS), not only the parameters of the classification hyperplane, but also the important input nodes can be obtaind. 提出一种基于输入集分类函数的新的距离度量方法,它与前传回归的正交最小二乘法相结合,不仅可以学习分类超平面的参数,而且可以选择重要的输入节点。
- BP algorithm and ROLS(Recursive Orthogonal Least Square)algorithm based on radical basic function were applied to predict methane outburst while merits and faults of the two algorithms were compared. 文中将BP算法和基于径向基函数的递归正交最小二乘算法应用于瓦斯预测中,同时比较了两种算法的优点及缺点。
- The objective for the optimization is to minimize the least square error(LSE) between the deformed boundary and the target boundary. 以柔性机构的变形边界与目标边界间的最小平方差(LSE)为优化目标。
- The least square solution and minimum mean square error (MMSE) solution for roundness error and spindle error was derived by measurement matrix in frequency-domain. 这种方法利用频域测量矩阵直接给出了圆度形状误差和回转误差的最小二乘解或最小均方误差解。
- Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision. 然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
- The least square error filter isformulated first through minimisation of the expectation of the squarederror function over the space of the error signal. 最少正方形错误过滤器是首先公式化通过期望的低估被摆正误差函数在错误信号的空间。
- Orthogonal Least Square(OLS) method 正交最小二乘方法
- recursive orthogonal least square 递归正交最小二乘
- recursive orthogonal least square algorithm 递推正交最小二乘算法
- Fitting a curve for an experimental energy spectrum of plasma particles with the least square method, a square error sum between the fitted curve and experimental spectrum data is usually minimized. 用最小二乘法拟合等离子体粒子能谱实验数据时，通常使拟合函数与实验能谱数据之间的误差平方和极小化。
- Chen S., Cowan C. F. N. and Grant P. M., 1991, Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks, IEEE Transactions on Neural Networks, 2(2): 302-309. 陈莉，1995，以物件导向之遗传演算法优选水库运用归线之研究，国立台湾大学生物环境系统工程学系博士论文。
- The training process in RBFNN includes two phases.In the first phase, Orthogonal Least Squares (OLS) is used to determine the number and the center of radial basis function in the hidden layer. 在训练辐状基底函数类神经网路过程中分为两阶段，前阶段以垂直最小平方法(OLS)决定隐藏层中辐状基底函数之个数及其中心位置；
- least square error approximation 最小二乘方逼近
- Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched. 将白化滤波后的降维数据矢量看作是单用户的系统，研究了迭代最小二乘(ILS)检测和最小均方误差(MMSE)检测。
- Fuzzy modeling based on orthogonal least square and UD decomposition 基于正交最小二乘和UD分解的模糊建模方法
- orthogonal least squares algorithm 正交最小二乘算法
- Furthermore, there are two criteria for FIR filters design, one is equiripple criterion (minimum peak error or Chebyshev criterion) and the other is least squared error (LSE) criteria. 此外,在FIR滤波器的设计中存在两种准则:一是等波纹设计准则 (即最大误差最小化或者Chebyshev准则 ),另一种是平方误差最小准则。
- Orthogonal least squares learning algorithm 最小正交平方算法
- The iterative regularization methods is studied，particularly the gradient methods including Least Squares Error（LSE） method，steepest descent method and Conjugate Gradient（CG）method. 研究图像恢复的迭代正则化方法，主要研究梯度法，特别是提出了求图像恢复的投影共轭梯度法。
