disanci

Training process fo a second order neural network

adaptive CMA algorithm

旅行商问题（TSP）的最近邻（NN）算法 近邻算法产生不同的结果，取决于选择哪个城市作为起点。此功能决定近邻路线为多个出发点，并返回这些航线的最佳。 (TSP_NN Traveling Salesman Problem (TSP) Nearest Neighbor (NN) Algorithm The Nearest Neighbor algorithm produces different results depending on which city is selected as the starting point. This function determines the Nearest Neighbor routes for multiple starting points and returns the best of those routes)

这个是LBP人脸算法，对学习者有很好的帮助，关于人脸表情识别，这里是基于ORL人脸库。(This is the human face LBP algorithm, the learners have good help, on facial expression recognition, here is based on the ORL database.)

在险价值 条件在险价值 风险度量 matlab软件(value at risk)

Gauss Seidel 解数学矩阵方程 Bisection 解1元高次方程 Newton Method 解高次方程 Taylor series 泰勒公式求方程近似解(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations.)

采用基本三角、方波信号等，对ECG心电信号仿真(Using the basic triangle, square wave signals, for ECG ECG simulation)

说明：  本文以室内、外不同空间的人数统计为背景，研究基于图像的人员计数技术，对某时段内进出摄像机视野中指定区域的人数，或指定区域内在景人数进行统计。主要研究内容有以下几点： （1）人员计数方案论证：本文分析对比了不同人员计数算法，研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。 （2）基于像素统计的人员计数系统实现：①分别采用近似中值背景模型和高斯混合背景模型提取前景图像；②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制；③用前景像素数除以人数得到一个人的像素平均值，在已知图像中前景像素数的情况下，可对人数进行估计。 （3）基于Hough变换的人员计数系统实现：①根据人头顶部轮廓近圆的特征,采用Sobel算子提取图像边缘,得到目标轮廓；②设置人员检测计数区，利用Hough变换进行圆检测；③对目标进行跟踪，并且进行有效性判断，记录有效目标；④判断行人是否跨线及跨线方向，实现过往行人的双向人数统计，并对人头进行标记。 (In this paper, indoor outside the different number of spatial statistical background image based on studies of people counting technology, the number of designated areas within some period of time and out of the camera view, the number of designated areas or inner view statistics. The main contents are as follows:       (1) people counting demonstration program: In this paper compares different people counting algorithm analysis based on pixel count algorithm based on the advantages and disadvantages personnel Hough Transform.       (2) based on pixel count of people counting system achieve: ① were used to approximate the value of the background model and a Gaussian mixture background model extraction of the foreground image ② the method of the HSV color space conversion based on the foreground shadow suppressed ③ foreground pixels divided by the average number of pixels to obtain a person s image at a known number of pixels in the foreground of the case, th)

说明：  电力线噪声的建模，有色背景噪声和脉冲噪声的模型建立(Modeling of Power Line Noise)

matlab实现GUI的算法code,大家可以借鉴借鉴....(Using matlab to make GUI .)