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1)  moving window partial least square(MWPLS)
移动窗口偏最小二乘
2)  moving window partial least square
移动窗口偏最小二乘法
1.
Wavelet packet analysis-moving window partial least square(WPA-MWPLS)data processing method was utilized to rapidly detect the caffeine content in tea by near-infrared spectroscopy.
该文以茶叶为研究对象,以近红外光谱分析技术快速检测茶叶中的咖啡碱含量为目的,采用一种小波包分析-移动窗口偏最小二乘法(WPA-MWPLS)的处理光谱数据方法,即利用小波包精细的多层分解功能扣除背景、降低噪声的影响,利用移动窗口偏最小二乘法(MWPLS)挑选与茶叶中咖啡碱相关性较大的波数区间使用偏最小二乘法建立校正模型。
3)  least-squares migration
最小二乘偏移
1.
Alternatively,least-squares migration method involves a numerical approach where the solution is retrieved by solving a linear discrete inverse problem.
最小二乘偏移方法采用另一种思路,即采用数值方法,通过解一个线性离散反问题来索求解。
4)  moving least squares
移动最小二乘法
1.
In this article the traditional fitting method on automobile rearview mirror was introduced and a new method based on moving least squares which focuses on the high smoothness of rearview mirror was established.
介绍了汽车后视镜理论建模的传统拟合方法,针对后视镜曲面光滑度高的特点提出了采用基于移动最小二乘法(Moving Least-Squares,MLS)的曲面拟合技术拟合后视镜、实现理论建模的新方法,给出了使用移动最小二乘法进行曲面拟合的程序设计流程。
2.
In EFGM, in order to get a numerical solution for a partial diferential equation, the shape function is constructed by moving least squares (MLS), the control equation is derived from the weak form of variational equation and essential boundary conditions are imposed by penalty function method.
它采用移动最小二乘法构造形函数,从能量泛函的弱变分形式中得到控制方程,并用罚函数法施加本质边界条件,从而得到偏微分方程的数值解。
3.
In EFGM, the shape function is constructed by moving least squares(MLS) to get .
无网格伽辽金法是最近几年发展起来的与有限元相似的一种数值方法,它采用移动最小二乘法构造形函数,从能量变分的弱形式得到控制方程,进而得到偏微分方程的数值解。
5)  Moving least square
移动最小二乘法
1.
Based on the moving least squares method,an effective meshless method was developed for the free vibration problems of elastic body.
介绍了无网格法采用移动最小二乘法构造形函数,引入罚参数满足边界条件,对弹性体的自由振动问题进行了分析。
2.
The second one uses moving least square(MLS) projection and fits a series of polynomial patch to the point set surface.
第一种方法利用voronoi元和有限元,将曲率公式离散,再进行计算;第二种方法利用移动最小二乘法(ML S) ,构造局部参数曲面来逼近原始曲面,以局部参数曲面的曲率来近似点集模型的曲率。
6)  moving least squares
移动最小二乘
1.
Response surface model based on moving least squares and particle swarm optimization method;
基于移动最小二乘和粒子群算法的快速全局优化算法
2.
In this paper,a novel numerical solution method,moving least squares (MLS),is employed to solve the problem of nonlinear reconstruction of multi-functional sensor with a view that least squares (LS) are restricted in global regression.
针对传统最小二乘法全局拟合的局限性,将一种新型的数值算法一移动最小二乘法应用于非线性多功能传感器的信号重构。
3.
The governing equations,moving least squares(MLS) interpolant and conservative schemes for moving least squares particle hydrodynamics(MLSPH) are presented.
给出MLSPH无网格方法的控制方程、移动最小二乘近似、MLSPH守恒格式等,重点研究MLSPH守恒格式中MLS面积向量的数值求解方法,以提高求解的精度。
补充资料:移动
1.改换原来的位置。 2.调动。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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