attachments_2011_07_01

matlab实现的k均值聚类算法，能对不同维度的数据进行聚类，有测试程序，欢迎下载(k-means clustering algorithm matlab implementation, capable of clustering data in different dimensions, with a test program, welcome to download)

用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取(matlab demo )

遗传算法优化支持向量机算法,从而更好的提高识别率和预测率(GA-SVM implemented by MATLAB)

Analogous considerations can be made for what concerns the other kind of MMI used in this project: the 1x2. Its single input waveguide is designed straight, while both output waveguides are curved as usual (with a radius of 500  m). Since the toleration curves are very similar to the precedent case, only the length and offset simulations are shown:

基于3个节点的闭式网络的牛顿拉夫逊迭代法(Newton Ralph Xun Diedefa based on closed network of 3 nodes)

LTE_A随机接入基带信号产生简化算法研究_彭大芹.pdf(Random access of LTE_A baseband signal generation and simplification algorithm research _ Peng Daqin.Pdf)

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference

ieee30节点的matlab程序，基于极坐标下牛拉法的求取雅可比矩阵(failed to translate)

针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

matlab 采用OTSU方法实现灰度图像二值化(OTSU method using gray image binarization)