Description: 建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲
面拟合方法这种方法对传统的最小二乘(LS)法的作了比较大的改进使生成的曲线曲面具
有精度高光滑性好等许多优点详细介绍了移动最小二乘法的原理应用和特点并且给
出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程最后给出了曲线拟合和空间散
乱数据曲面拟合算例将拟合结果与最小二乘拟合结果作了比较分析了MLS 拟合曲线曲
面的光滑性和拟合质量表明了该方法的优越性和有效性-The establishment of a Mobile-based least squares (Moving Least-Squares MLS) method of curve and surface fitting method to the traditional method of least squares (LS) method were compared for improvement so that curves and surfaces generated with a precision high smoothness of the advantages of a good many details of the principle of moving least square method and given the characteristics of applications and the use of moving least square method of curve and surface fitting procedure is given the final design process and the space curve fitting scattered data surface to be Fitting the results of cases will be cost-effective and least square fitting results of a comparative analysis of the MLS fitting of smooth curves and surfaces and fitting quality demonstrates the superiority of the method and effectiveness of Platform: |
Size: 467968 |
Author:chenruibao |
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Description: 建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲
面拟合方法 这种方法对传统的最小二乘(LS)法的作了比较大的改进 使生成的曲线曲面具
有精度高 光滑性好等许多优点 详细介绍了移动最小二乘法的原理 应用和特点 并且给
出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程 最后给出了曲线拟合和空间散
乱数据曲面拟合算例 将拟合结果与最小二乘拟合结果作了比较 分析了 MLS 拟合曲线曲
面的光滑性和拟合质量 表明了该方法的优越性和有效性-Was established based on moving least square (Moving Least-Squares MLS) method of this curve and surface fitting method to the traditional method of least squares (LS) method was relatively large improvements to make the generated curves and surfaces with a precision of High smoothness, good detail, and many other advantages of the principle of least-squares method for mobile applications and features and gives the least-squares method using the mobile curve and surface fitting procedure design process Finally, curve fitting and spatial scattered data surface to be cost-effective cases of the results of the fitting results are compared with the least-squares fitting analysis of MLS fitting curves and surfaces smooth and fitting quality demonstrates the superiority and effectiveness of the method Platform: |
Size: 467968 |
Author:李秀丽 |
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Description: 无网格伽辽金法的一维杆单元源程序，基于移动最小二乘近似。-Element-free Galerkin method one-dimensional beam element source, based on moving least square approximation. Platform: |
Size: 7168 |
Author:chris lee |
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Description: The new meshless method based on the cover least square approximation, which utilize cover instead of
points that are used in the moving least square approximation, is proposed. For the cover distribution, multi
scale voxel data is used for the ease of analysis in 3D solid. Several 3D examples are shown for
demonstration. The method is applied to adaptive analysis of seepage flow problem of rock including
complicated cracks. The rock model with 3 cracks and 1000 cracks are analyzed Platform: |
Size: 626688 |
Author:nima fathi |
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Description: 在实时跟踪系统中,要求在跟踪过程中跟踪窗口的大小实时地适应运动目标的外观变化,这对应着Meanshift 的尺度变化. 针对跟踪这种尺度变化的问题,在跟踪框内检测角点并进行匹配,将所有得到的匹配角点对建立仿射模型,并采用最小二乘法求解得到尺度变化系数,进而更新跟踪框尺度,使得Meanshift 算法可自适应地变化尺度并跟踪到大小不断变化的目标. 实验结果表明,提出的算法具有较好的准确性、鲁棒性和实时性.-In real-time tracking system, requiring the tracking process to track the size of the window of moving objects in real time to adapt to changes in appearance, which corresponds to Meanshift scale changes. For the tracking problem of this scale changes in the tracking box corners and be detected match, will be matching all corners of the establishment of affine model, and using the least square method by scaling coefficient of variation, and then update the tracking box scale, making Meanshift algorithm can adaptively changing the scale and track the size of the ever-changing target. Experimental results show that the proposed algorithm has better accuracy, robustness and real-time. Platform: |
Size: 436224 |
Author:sunlikui |
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Description: A hybrid least squares support vector
machines and GMDH approach for river
fl ow forecasting-This paper proposes a novel hybrid forecasting model, which combines the group
method of data handling (GMDH) and the least squares support vector machine
(LSSVM), known as GLSSVM. The GMDH is used to determine the useful input vari-
ables for LSSVM model and the LSSVM model which works as time series forecasting. 5
In this study the application of GLSSVM for monthly river fl ow forecasting of Selangor
and Bernam River are investigated. The results of the proposed GLSSVM approach
are compared with the conventional artifi cial neural network (ANN) models, Autoregres-
sive Integrated Moving Average (ARIMA) model, GMDH and LSSVM models using the
long term observations of monthly river fl ow discharge. The standard statistical, the 10
root mean square error (RMSE) and coe ffi cient of correlation (R) are employed to eval-
uate the performance of various models developed. Experiment result indicates that
the hybrid model was powerful tools to mo Platform: |
Size: 1467392 |
Author: |
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Description: 用于多学科设计优化中代理模型技术，移动最小二乘法是代理模型方法的一种-For multidisciplinary design optimization in the agent model, the moving least squares method is a kind of agent model Platform: |
Size: 2048 |
Author:xythxk123 |
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Description: 增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。-Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method. Platform: |
Size: 1024 |
Author:张鹏 |
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Description: 对于初学无网格法的人来说，一维移动最小二乘近似的MATLAB程序是一个不错的选择。-Meshless method for the beginner people, one-dimensional moving least square approximation of the MATLAB program is a good choice. Platform: |
Size: 3072 |
Author:xiayizhan |
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Description: 移动最小二乘法求曲面谷脊线，并立体呈现
参考文献：Sparse Low-degree Implicit Surfaces with Applications to
High Quality Rendering, Feature Extraction, and Smoothing-To obtain the valley ridge moving least square method, and three-dimensional rendering Platform: |
Size: 7031808 |
Author:notyme |
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Description: 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized
by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method. Platform: |
Size: 289792 |
Author:kiel |
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Description: 解决移动最小二乘法中求解一维形函数的问题(Solving the problem of solving one-dimensional shape function in moving least square method) Platform: |
Size: 3072 |
Author:加油哦
|
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Description: 基于移动最小二乘法的曲线曲面拟合，MATLAB代码编辑流程(MATLAB Code Editing Process Based on Moving Least Square Method for Curve and Surface Fitting) Platform: |
Size: 187392 |
Author:Ladymacbeth |
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Search - moving least square method