ganer

说明：  三层bp matlab版，输入输出可选，训练样本可选(Three-bp matlab version, input and output optional optional training samples)

CSP共空间模式的matlab代码实现，自己编写的CSP函数，测试好用，分享给初学者(CSP matlab code writed by myself,share with freshman. )

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)

canny算子,很有用的一个程序.容易掌握.(a simple and easy algorithm.)

基于补偿模糊神经网络的砂土液化势评价研究附录含有matlab程序，可以参考(CFNN on the evaluation of soil liquefaction potential)

Simulation experiment with dodging handicaps by robot.Simulation experiment with dodging handicaps by robot.(Simulation experiment with dodging handicaps by robot.Simulation experiment with dodging handicaps by robot)

kock fractal drawing

File for markov chains

Matlab Coce for PCA 5

在数学中，线性规划 (Linear Programming，简称LP) 问题是目标函数和约束条件都是线性的最优化问题。 线性规划是最优化问题中的重要领域之一。很多运筹学中的实际问题都可以用线性规划来表述。线性规划的某些特殊情况，例如网络流、多商品流量等问题，都被认为非常重要，并有大量对其算法的专门研究。很多其他种类的最优化问题算法都可以分拆成线性规划子问题，然后求得解。在历史上，由线性规划引申出的很多概念，启发了最优化理论的核心概念，诸如“对偶”、“分解”、“凸性”的重要性及其一般化等。同样的，在微观经济学和商业管理领域，线性规划被大量应用于解决收入极大化或生产过程的成本极小化之类的问题。乔治·丹齐格被认为是线性规划之父。 (In mathematics, linear programming (Linear Programming, referred to as LP) problem is the objective function and constraints are linear optimization problem)