Ybusmatrix

An Algorithm for defining hand gestures

本程序是地震合成记录的正演模拟程序，包括实现三层地质模型(This program is being synthetic seismograms modeling program, including the realization of three geological model)

混沌时间序列预测神经网络一步预测神经网络多步预测(chaotic time series predictionMain_RBF_MultiStepPred.m)

高光谱图像的顶点成分分析，在没有先验知识背景下，提取图像中的端元(Hyperspectral Image vertex component analysis, in the absence of a priori knowledge of background, the extracted image Endmember)

说明：  具有加、减、乘、除、sin、cos、ln、log等功能的计算器界面(With addition, subtraction, multiplication, division, sin, cos, ln, log and other functions of the calculator interface)

function g=nonlineareq(x) Here is an example of nonlinear system that can be solved by using the Matlab command "fsolve" written in the file called "solution.m" (see quasi-Newton or Levenberg-Marquardt methods). g(1)=x(1)-4*x(1)*x(1)-x(1)*x(2) g(2)=2*x(2)-x(2)*x(2)+3*x(1)*x(2)

LibSVM工具箱，在matlab环境下实现，完整的与VC接口！更多访问个人主页：http://huangbo929.blog.edu.cn(LibSVM toolbox in Matlab environment achieved, and the integrity of the VC interface! More personal visit Home : http://huangbo929.blog.edu.cn)

pattern classification homework 3

灰色预测，用于短期预测，所需数据少，实用，简单(Grey Forecasting)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)