搜索资源列表
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱,代码包含的内容有:牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
MovingLeast-SquaresMLS
- 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-W
system_identification
- 系统辨识的实验代码,包括产生白噪声程序、各种最小二乘法程序等等,包含所有源代码,用C++写的。-Experimental system identification code, including the generation of white noise process, a variety of least squares procedures, etc., including all source code, using C++ written in.
LS_SVM
- 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
lssvmpso
- 基于粒子群优化最小二乘支持向量机参数的程序,很好用-pos_lssvm
levmar-2.3
- 最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化!-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
AR
- 使用时间序列分析AR方法对油价进行分析,以及预测。采用BIC准则进行判阶,最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
IAGA
- 应用改进自适应遗传算法结合最小二乘法求解优化参数,图形显示,运算快捷。-Application of improved adaptive genetic algorithm combined with least-squares method to optimize parameters, graphical display, fast computing
LS_SVMlab
- 最小二乘支持向量机工具箱,学习支持向量机必备工具-Least squares support vector machine toolbox, an indispensable tool for learning support vector machines
LS-SVM-toolbox
- 最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例-the latest LS-SVM toolbox for matlab
lsyqc
- 现代谱估计的matlab的程序。用的是最小二乘法。-Modern Spectral Estimation matlab procedures. Using a least squares method.
pronyanalysis
- matlab prony算法 基于svd-tls总体最小二乘-prony analysis matlab code svd-tls
最小二乘支持向量机工具
- 采用最小二乘支持向量机完成对信号的分类,预测功能。 该工具包在2009版本上已经验证。
ls-ar
- 自编函数实现AR模型的最小二乘估计(AR阶数=4)-AR model of self-function of least squares estimation (AR order = 4)
fundamental_martix
- 基于matlab写的计算机视觉中的基础矩阵算法,采用了强标定的方式,其中用了最小二乘法计算基础矩阵的八点法-Based on matlab written in the vision of the computer, using the fundamental matrix algorithm is strong, the calibration of the least-square method in calculating the eight points based matrix
taylortdoainit
- 定位算法中泰勒级数迭代,其是以最小二乘法为初值的算法-Taylor series iterative positioning algorithm, which is based on least squares algorithm for the initial value
mintwo
- 最小二乘法-Least Squares
LSParaId
- 在matlab中,最小二乘法,模型参数确定和参数检验- In matlab, least squares method, the model parameter determined and the parameter examines
pianzuixiaoerchengfaMatlab
- 偏最小二乘法的Matlab源码,希望大家能有用 谢谢大家-PLS of the Matlab source code, hope that we can be useful Thank you
TLSesprit
- 总体最小二乘法的ESPRIT方法,这种算法的估计精度明显好于原来的ESPRIT算法。可以很好的估计出信号的角度。仿真中用的是均匀阵列。-Total least squares method of the ESPRIT method, the algorithm of the estimation accuracy significantly better than the original ESPRIT algorithm. Can be a very good signal to estima