BFOA-MATLAB

说明：  对航海雷达中频信号进行ＯＳ恒虚警处理，滤除杂波(On marine radar IF signal OS CFAR processing, filtering clutter)

Edge detection with svm （doc and matlabcode）(Edge detection with svm (doc and matlabcode))

Retinal Blood vessel extraction using Matlab by morphological processing

此程序是用来读取C版本星历文件并进行拟合预推处理的，简单可用(the program is used to read C version ephemeris , couple and predict, it is easy and useful)

使用大量的有限元法求解偏微分方程，阐述了负荷预测的应用研究,采用偏最小二乘法。( Using a large number of finite element method to solve partial differential equations, It describes the application of load forecasting, Partial least squares method.)

matlab初学者最重要的资料，希望大家来下载学习，谢谢(matlab beginners to the most important information, I hope you learn to download, thank you)

and gate using adaline

说明：  MATLAB 捕鱼策略 全国大学生建模(National Undergraduate fishing strategy MATLAB Modeling)

单排队论服务系统，顾客源无限,选择仿真时间，选择最大来到顾客数(Single queuing theory service system, customers unlimited source, select the simulation time, select the maximum number of customers came)

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.)