机器学习的例程

此m文件为逢山开路的山体3D效果图代码.(This m file to open the mountain mountains and 3D renderings code.)

代价区间的代价敏感支持向量机，用于代价不能精确获得的情况。(CISVM is a package for learning with cost intervals. It can be used when the precise cost information is not known while cost intervals are available. )

It is code for( 33 and 69 bus IEEE data) Newton-Rapshan method and D.G. placement code also. One code is for minimizing a function using particle swarm optimization technique.

基于支持向量回归机，预测股价（10天），可以根据自己的需要对参数和预测天数进行灵活调整(Based on support vector regression to predict the stock price (10 days), according to their needs and prediction of parameters for flexible adjustment of the number of days)

利用LMS算法来进行盲信号分离处理的程序(Using the LMS algorithm for blind signal separation processing procedures)

电力系统中计算潮流的牛顿拉夫逊拉法和PQ快速分解法(newton method and PQ method)

camera-to-screen calibration test USING MATLAB

说明：  本算法为粒子群优化算法，适用于初学者，压缩包中附带了一个基本函数用于实践。(This algorithm is a particle swarm optimization algorithm, which is suitable for beginners. A basic function is attached to the compression package for practice.)

Solving TSP using Neural Networks

系统系统辨识文件夹内是产生高斯白噪声，m序列和最小二乘法的一次完成算法，递推算法，限定记忆法的程序。系统仿真文件夹内是对系统线性和非线性的建模和仿真程序。(System folder on system identification is to generate Gaussian white noise, m sequence and a complete least-squares method algorithm, recursive algorithm, limited memory method procedures. System Simulation System folder is a linear and nonlinear modeling and simulation program.)