libsvm-3.1

windfarm turbine model

求梅尔倒谱系数的matlab程序，主程序是melcepst。(Mel Cepstrum Coefficients seeking matlab program, the main program is melcepst.)

template for recognition system.template for recognition system. template for recognition system.

用RRT搜索算法作的一种路径优化算法，效果不错，只是耗时较长。(A path optimization algorithm based on RRT search algorithm has a good effect, but it takes a long time.)

仿Matlab的矩阵运算程序，效果和Matlab的一样(Imitation of Matlab matrix calculation procedures)

函数形式kpca算法，可以直接使用，内含详细说明(Functional form kpca algorithm can be used directly, containing detailed instructions)

说明：  kmeans 算法的实现，编译已经通过，希望对大家有帮助(kmeans algorithm, the compiler has been passed and we hope to help)

fisher判别法 本实验通过编制程序体会Fisher线性判别的基本思路，理解线性判别的基本思想，掌握Fisher线性判别问题的实质。 (fisher discriminant method of the present experiment with basic programming experience Fisher linear discriminant ideas, understand the basic idea of ​ ​ a linear discriminant, master Fisher linear discriminant substantive issues.)

使用一篇论文提供的方程组和参数——分形仿射变换方法转换过来的MATLAB程序，画一片蕨叶。输入是起始坐标x0,y0和迭代次数——一般在几万次，十万次比较清晰。(Plotting the leaf with equations and parameters given by an essay. This method is fractal theory. The input is the location of starting points x0,y0 and the iteration times(100,000 times can produce a clear picture.))

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)