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support_vector_machine
- C针对模式识别问题H描述了支持向量机的基本思想H着重讨论了OD=?PI最小二乘=?PI加权=?P 和直接 =?P 等新的支持向量机方法H用于降低训练时间和减少计算复杂性的海量样本数据训练算法分块法I分解法H提 高泛化能力的模型选择方法H以及逐一鉴别法I一一区分法IPD., 分类法I一次性求解等多类别分类方法@最后给 出了污水生化处理过程运行状态监控的多类别分类实例@作为结构风险最小化准则的具体实现H支持向量机具有 全局最优性和较好的泛化能力
lsmatvec
- 最小二乘滤波器的实现，自适应滤波 算法递归发现加权线性最小二乘 代价函数与输入信号的滤波器系数，最大限度地减少。-Implementation of least-squares filter
galerkin8_5_1
- Galerkin方法,这是一种真正的无网格方法.这种方法采用移动最小二乘函数采近似解变量,并且采用移动最小二乘近似函数的权函数作为加权残值法的权函数.文中对形成的离散动力学方程用Newmark方法求解-Galerkin method, this is a real meshless method. This method adopts moving least squares in function approximation solution variables, and adopts mov
jiaquanditui
- 加权递推最小二乘算法matlab仿真程序，用于系统辨识-Weighted recursive least square algorithm matlab simulation program, used for system identification
CoGPS
- 包含各种GPS网平差：自由网平差、最小二乘平差、拟稳平差、已知点加权平差、已知点加权相关平差-Contains a variety of GPS network adjustment: free network adjustment, least squares adjustment, to be stable adjustment, known point weighting adjustment, known point weighted correlation Adjustment
Modern-Adjustment
- 近代平差，包括：序贯平差、最小二乘配置、抗差估计、卡尔曼滤波、粗差探测、参数加权平差、相关抗差估计-Modern adjustment, including: sequential adjustment, least square configuration, robust estimation, Kalman filtering, gross error detection, parameter weighting adjustment, related to robust estimatio
The-least-squares-estimate
- 1线性最小二乘估计 2线性最小二乘加权估计 3线性最小二乘递推估计 4单参量的线性最小二乘估计 -The least squares estimate
WTLS_fitting
- 基于加权整体最小二乘迭代算法，利用井壁同一截面特征点坐标序列，拟合煤矿井筒圆心的坐标序列和半径，监测竖井变形情况-Overall weighted least-squares iterative algorithm, using the same sequence of the wall section feature point coordinates, the coordinates of the center of mine shaft fitting sequence and radiu
shiyanmotaicanshudepinyushibie
- 试验模态参数的频域识别包括：导纳圆法模态参数识别，最小二乘模态参数识别，加权最小二乘法模态参数识别-Frequency domain identification of experimental modal parameters including: admittance method for modal parameter identification, modal parameter identification of least squares, weighted least square
airPLS-2.0-matlab
- airpls自适应迭代重加权惩罚最小二乘算法背景扣除的matlab代码- airpls background subtraction matlab code
total-least-square
- 加权总体最小二乘算法在直线拟合拟合的应用，算法为方兴博士论文中的算法1-total least square linear fitting
RLS
- 基本最小二乘法、加权最小二乘法（包括一次完成、递推算法）、最小二乘适应算法（包括遗忘因子法、限定记忆法）以及进行偏差补偿的最小二乘法，有详细的文档说明，程序注释也很详尽-The basic method of least squares, weighted least squares method (including a complete, recursive algorithm), least squares adaptation algorithm (including forgettin
mtuahnbi
- 使用matlab实现智能预测控制算法，使用大量的有限元法求解偏微分方程，加入重复控制，IDW距离反比加权方法，PLS部分最小二乘工具箱,BP神经网络用于函数拟合与模式识别。- Use matlab intelligent predictive control algorithm, Using a large number of finite element method to solve partial differential equations, Join repetitive contro
harvikyu
- IDW距离反比加权方法，线性调频脉冲压缩的Matlab程序,车牌识别定位程序的部分功能，双向PCS控制仿真，PLS部分最小二乘工具箱,滤波求和方式实现宽带波束形成。- IDW inverse distance weighting method, LFM pulse compression of the Matlab program, Part of the license plate recognition locator feature, Two-way PCS control simulat
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
rurttpwz
- IDW距离反比加权方法，包含CV、CA、Single、当前、恒转弯速率、转弯模型，PLS部分最小二乘工具箱,这个有中文注释，看得明白，有信道编码，调制，信道估计等，给出接收信号眼图及系统仿真误码率。- IDW inverse distance weighting method, It contains CV, CA, Single, current, constant turn rate, turning model, PLS PLS toolbox, The Chinese have a co
少发故障的寿命分布拟合
- 首先是针对无或单失效数据情形下，通过多层贝叶斯估计法得到失效概率过后，给出了寿命分布参数的加权最小二乘估计。然后如果失效数据不止一个，使用乘积限估计法来得到失效概率的估计值。(Firstly, the weighted least squares estimation of the life distribution parameters is given by the multi-layer Bayesian estimation method after the failure probab
chap2
- 系统辨识最小二乘法辨识系统参数，递推最小二乘，加权最小二乘(system identification)
使用加权辅助变量的被动发射源定位
- 由于测量矩阵和方位噪声之间的相关性，我们已知的发射极定位的线性最小二乘算法，如伪线性估计器，具有较大的估计偏差。本文提出了一种新的基于闭型的发射器定位算法，该算法克服了这种偏倚，利用了比定位估计的辅助变量。通过计算机模拟，新算法的性能优于伪线性估计器，同时具有与计算成本更高的极大似然发射器相同的性能。(Because of the correlation between the measurement matrix and azimuth noise, we have known that th
电力系统状态估计
- 基于加权最小二乘算法和快速分解法的电力系统状态估计程序(Power system state estimation program based on weighted least square algorithm and fast decomposition method)