ncmgui

说明：  用蚁群算法做图像边缘检测，过程中采用四种核函数用来做分割，最后产生不同结果用来比较。(Using ant colony algorithm to do image edge detection, the course of four kernel function used for partitioning, and finally used to compare different results.)

说明：  infomax 算法，盲信号处理中很有帮助(INFOMAX algorithm, blind signal processing helpful)

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)

双目标 NSGAII 算法案例(A case of double target NSGAII algorithm)

this journal is created by Sachin Jayaswal Student ID: 20186226 Department of Management Sciences University of Waterloo. it s describe how performances of tabu search and simulated annealing solve the TSP. this journal includes tabu search and SA matlab code to solve tsp.

newton-raphon 法解方程程序(newton-raphon )

single phase converter RLE load

contrast enhancement on grayscale image based on Posibility Distribution

本资料是用于学习matlab，对学习matlab有很大的帮助。(This information is used to learn matlab, learning matlab great help.)

Tex to speech convsersion using matlab.