这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。...

本程序能实现专家PID控制。专家控制的实质是基于受控对象和控制规律的各种知识，并以智能的方式利用这些知识来设计控制器。-the procedures to achieve expert PID control. Experts control of the controlled substance is based on the object and control the various law knowledge, and the intelligent use of this knowledge to design controller.

美国麻省理工学院出的遗传算法方面的好书.-Massachusetts Institute of Technology in the United States out of aspects of genetic algorithms books.

在各种数据源的分析中，收集数据非常重要，本算法提供了一种理论上可以保证性能的聚类算法并提供的相关证明。-Now kneel bowl beat Gou Tai Xu Pleiades cavity中， receive Moreton basin quasi-grind are linked to reset lynx ，算Yang Gou feed leftover braise instance, you can upset Article Sinopodisma殿cavity Abduction Chu Chun Kui Yang算sweet feed cavity gaze intently Shouson殿Longde 。

隐马尔可夫模型算法(解压后为ppt文件，改名为a.ppt)-HMM algorithm (decompression after ppt documents, renamed a.ppt)

K-Means动态聚类算法源程序 使用K-Means实现数据挖掘中的聚类算法-Dynamic K-Means clustering algorithm source realize the use of K-Means clustering data mining algorithm

人工免疫网络,实现分类,聚类,函数寻优等功能,采用matlab编写.-artificial immune network, classification, clustering, search function Excellence function, prepared using Matlab.

通用的蚁群算法，这个算法可以高效地解决tsp问题-Common ant colony algorithm, this algorithm can efficiently solve the problem tsp

A SVM classifier, with detail documents.

蚁群算法源程序 ，比较实用，有简要说明-蚁群算法源程序 ，比较实用，有简要说明

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.