antcolonyalgorithm

扩展卡尔曼matlab编程的一种实现方法．(Extended kalman matlab Programming Method.)

说明：  模拟X成像，x源为一点源，仿体为一正方体，接收器分辨率可自己设置。(x-ray imaging simulation)

ellipse representations

A New Algorithm for ARMA Model Parameter Estimation Using Group Method of Data Handling

this is a matlab simulink program for a induction motor model

一个非常实用且能进行模糊综合评判的matlab程序(A very practical and can be fuzzy comprehensive evaluation of the matlab program)

排队问题仿真模型的代码，顾客到达时间和服务时间服从均匀分布。(Simulation model of the queuing code, the customer arrival time and service time uniform distribution.)

MatLab function for converting Rotation matrix to Euler Angles and quatenrions. Two examples provided

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

说明：  基于遗传算法的评价函数（UUV）PID参数的遗传优化(Underwater Unmaned vecile)