搜索资源列表
Matlab
- matlab程序非线性优化设计方法时下流行的关于非线性规划的源程序,包括SQP方法、乘子法程序、二次规划、非线性最小二乘法、共轭梯度法、拟牛顿法、线搜索技术、信赖域方法、最速下降法与牛顿法等-matlab program nonlinear optimization design method popular on nonlinear programming source code, including the SQP method, the multiplier method procedur
LS-SVMxianxing
- 基于最小二乘支持向量机对传感器的非线性系统用MATLAB软件进行仿真建模程序-Based on least square support vector machine (SVM) of the nonlinear system of sensor with MATLAB simulation modeling software program
LS-SVMLab-v1.7(R2006a-R2009a)
- matlab中的ls-svm工具包，是最小二乘支持向量机算法，可用于解决非线性的回归问题。-ls-svm tool in the Matlab package, least squares support vector machine algorithm can be used to solve nonlinear regression problems.
libsvm-3.12
- matlab中的libsvm工具包，是smo支持向量机算法，可用于解决非线性的回归问题。区别于最小二乘支持向量机。-Matlab libsvm Kit is to smo support vector machine algorithm that can be used to solve nonlinear regression problems. Different from the least squares support vector machine.
program-of-support-vector-machine
- matlab中的标准svm程序源码，用于解决线性的回归问题，不能用于解决非线性，区别于最小二乘支持向量机。-svm program source code, standard Matlab is used to solve linear regression problems, can not be used to solve nonlinear, different from the least squares support vector machine.
Apictureredras
- 由于光学镜头的生产工艺等原因，数码相机拍摄图像常常会出现非线性的几何畸变。针对这一常见问题，采用最小二乘拟合、双线性性插值的方法对拍摄图像进行校正。实验结果表明，该方法能够在保证无颜色失真的条件下获得较为理想的校正结果。 -Due to optical lens production process, digital camera images are often non-linear geometric distortion. In response to this common pro
PLS_NIPALS
- 非线性迭代偏最小二乘的MATLAB代码,可用于光谱数据的建模-MATLAB code of NIPLS
mtl_reg_sim_complinearized
- 多元非线性回归——岭回归方法，比常规的最小二乘更适合数据量较大的优化问题-Multiple nonlinear regression- ridge regression method is more suitable than the conventional least squares optimization problem of the large amount of data
image-restoration
- 图像复原，包括逆滤波、最小二乘复原、非线性复原和其他复原技术-Image restoration, including inverse filtering, least squares recovery, nonlinear recovery and restoration techniques
min
- 最小二乘算法 可以进行非线性优化 是智能计算中一种很有用的算法-the algorithm for nonlinear optimization is a useful intelligent computing algorithm
MATLAB-Optimization
- 主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大（Minmax）问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。-The main descr iption Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem
numerical-analysis
- 用正交多项式做小二乘曲线拟合， 针对给定数据的煤自燃监测数据中煤温与 之间的非线性关系，用正交多项式做最小二乘曲线拟合。数值分析-Orthogonal polynomials with small squares curve fitting to do, for a given data monitoring data in the coal spontaneous combustion of coal and the nonlinear relationship between tempera
a-nonlinear-least-squares-algorithm-
- 基于最优化方法的最小二乘非线性matlab算法非常有效的-Optimization method based on nonlinear least squares algorithm is very effective matlab
LS-for-index-function
- 对线性和非线性的最小二乘进行了介绍，同时介绍了把指数函数的最小二乘转变为线性的最小二乘方法以及实现。 写出了指数函数的最小二乘C#实现代码，并且在两个点的情况下，用普通方法和最小二乘进行了比较，结果一致。（代码可直接运行）-Linear and nonlinear least squares were introduced, also introduced the least squares exponential function into a linear least-squares m
123
- 有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等-All algorithms related to regression analysis, including a detailed descr iption and the specific principles matlab code, it is suitable for b
LSSVR
- 最小二乘支持向量机，用以非线性系统最小二乘分类和拟合。-Least squares support vector machines for classification and nonlinear least squares fitting system.
PLS_Toolbox21
- 偏最小二乘工具箱2012,主要包含线性与非线性函数；具有很强的数值计算功能-matlab tool BOX
taylor_jiaodu
- 基于泰勒展开的最小二乘测向程序 泰勒展开将非线性方程转化为线性方程实现精确测向-Based on least squares Taylor Taylor to the program will be measured nonlinear equations into linear equations to achieve accurate measurements
lsqcurvefit
- 非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立： min Σ(F(x,xdatai)-ydatai)^2-Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the i
LSSVMlabv1_8_R2009b_R2011a
- lssvm 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