Mypaper

鼠标滚轮控制文本字体大小_拖拽_单击关闭(Mouse Wheel Control text font size _ _ click Close drag)

灰色预测的matlab程序，用于评价问题(Gray prediction matlab program for Evaluation)

中国地图matlab源代码，里面有具体的源代码，可以画出完整的中国地图(China map matlab source code, there are specific source code, you can draw a complete map of China)

part 1 about vcsel simulation of a paper IEEE

color image enhancements

bidirectional pv converter

将一副彩色图像转为灰度图像，截取部分，并找到质心位置(Centroid calculation of gray image)

说明：  泊松均匀分布的WSNs的网络拓扑Matlab程序(Poisson network structure for WSN)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

一个matlab遗传算法源程序,自己找来的，原代码有少许错误，本人都已更正了，调试运行都通过了的。对于初学者，尤其是还没有编程经验的非常有用的一个文件. (A genetic algorithm matlab source code, could think of, the original code was flawed, I have been corrected, debugging and running through the of. For starters, in particular, no programming experience is very useful to a file.)