linear least squares estimate 线性最小二乘估计
Linear Least Squares Regression 最小二乘方计算器
linear least-squares 线性最小二乘
Linear Least Squares Fit 平方拟合 ; 线性最小平方拟合 ; 线性最小二乘法拟合 ; 拟合
singular linear least squares method 奇异线性最小平方法
non-singular linear least squares 非奇异线性最小平方
LLS linear least squares 线性最小二乘法
generalized linear least-squares estimation 广义最小二乘估计
linear least squares method 线性最小平方法
This process to fit linear or nonlinear equation according to measured data is named as curve fitting. The traditional methods for model function are linear least squares, nonlinear least squares and maximum likelihood estimate.
根据实测数据拟合直线或曲线方程的过程称作模型拟合,求解模型函数的传统方法有线性与非线性最小二乘法、最大似然估计法。
参考来源 - 基于遗传算法的模型拟合及其医学应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Non-Linear Least Squares were used to estimate the exponential time model.
非线性最小二乘法用于估算指数时间模型。
Generally, a linear least squares problem leads to ihc solution of the so called normal equation.
解线性最小二乘问题时，通常都要解所谓正规方程。
We cast these ranging measurements as a set of distance constraints, thus forming an over-determined system of equations suitable for non-linear least squares optimization.
我们将这些距离测量看作距离限制集，从而构成一个超定的系统方程，适用于最优非线性最小二乘。
应用推荐