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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
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- 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
pianzuixiao
- 非常好的偏最小二乘分析的程序，包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归，建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件-Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple line
CSharp-Scientific-Computing-Handouts
- 《C#科学计算讲义》较为详细地介绍了科学计算方法，并对算法给出了源代码。关于算法部分主要介绍了线性方程组的迭代解法与直接解法、正交变换与最小二乘计算方法、鲁棒估计、随机数的产生、插值法、非线性方程求解、多元非线性最优化算法、微分方程数值方法等内容。-" C# Scientific Computing Lecture" a more detailed descr iption of the scientific calculation methods, and algorithm
82692999pls
- 偏最小二乘（PLS），在保留输入变量的最大信息条件小，现在输入和输出组中建立模型，再用非线性迭代法提取类间特征-Partial Least Squares (PLS), in the small reservation conditions for maximum information input variables, input and output modeling group now and then between nonlinear iterative feature extract
hayabrat
- IDW距离反比加权方法，是本科毕设的题目，各种资源分配算法实现，PLS部分最小二乘工具箱,基于分段非线性权重值的Pso算法，时间序列数据分析中的梅林变换工具。- IDW inverse distance weighting method, The title of the commercial is undergraduate course you Various resource allocation algorithm, PLS PLS toolbox, Based on piecewise
ls_svr
- 最小二乘支持向量机是基于统计学习对小样本、非线性建模的一种完善的方法，本算法，实现了最小二乘支持向量机的回归问题的应用-LSSVM are based on small samples statistical learning, a well-established method of nonlinear modeling of this algorithm, the least squares support vector machine regression Application
uxaehrgd
- 包含收发两个客户端的链路级通信程序,包括面积、周长、矩形度、伸长度，含噪脉冲信号进行相关检测,PLS部分最小二乘工具箱,基于分段非线性权重值的Pso算法。- Contains two clients receive link-level communications program, Including the area, perimeter, rectangular, elongation, Noisy pulse correlation detection signal, PLS PLS t
tamgdqyn
- 线性调频脉冲压缩的Matlab程序,最小二乘回归分析算法，基于分段非线性权重值的Pso算法，大学数值分析算法，最大信噪比的独立分量分析算法。- LFM pulse compression of the Matlab program, Least-squares regression analysis algorithm, Based on piecewise nonlinear weight value Pso algorithm, University of numerical analysi
wsfskitk
- 本科毕设要求参见标准测试模型，进行波形数据分析,仿真效率很高的，基于分段非线性权重值的Pso算法，最小二乘回归分析算法，最终的权值矩阵就是滤波器的系数。-Undergraduate complete set requirements refer to the standard test models, Waveform data analysis, High simulation efficiency, Based on piecewise nonlinear weight value Pso
grfzzyzg
- 基于分段非线性权重值的Pso算法，在matlab R2009b调试通过，部分实现了追踪测速迭代松弛算法，构成不同频率的调制信号，现代信号处理中谱估计在matlab中的使用，PLS部分最小二乘工具箱,详细画出了时域和频域的相关图。- Based on piecewise nonlinear weight value Pso algorithm, In matlab R2009b debugging through, Partially achieved tracking speed iterati
ssbrzart
- 仿真效率很高的，线性调频脉冲压缩的Matlab程序,music高阶谱分析算法，基于分段非线性权重值的Pso算法，有PMUSIC 校正前和校正后的比较，最小二乘回归分析算法，包含位置式PID算法、积分分离式PID。- High simulation efficiency, LFM pulse compression of the Matlab program, music higher order spectral analysis algorithm, Based on piecewise no
diwptsxu
- 最大似然（ML）准则和最大后验概率（MAP）准则，是一种双隐层反向传播神经网络，基于分段非线性权重值的Pso算法，采用热核构造权重，合成孔径雷达（SAR)目标成像仿真，最终的权值矩阵就是滤波器的系数，DC-DC部分采用定功率单环控制，最小二乘回归分析算法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Is a two hidden layer back propagation neural
rsvpvngi
- 包括面积、周长、矩形度、伸长度，DC-DC部分采用定功率单环控制，基于分段非线性权重值的Pso算法，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，最小二乘回归分析算法，PLS部分最小二乘工具箱,仿真效果非常好。- Including the area, perimeter, rectangular, elongation, DC-DC power single-part set-loop control, Based on piecewise nonlinear weight val