shuangkuifenglifadian

这是基于mimo系统的迫零均衡算法仿真分析的程序(This is based on zero forcing mimo systems analysis procedures Equalization Algorithm)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

说明：  光的干涉演示,呵呵合乎呵呵和呵呵呵呵54洋阿合格欢呼隔(optical interference demonstration with huh huh huh huh 54 and A qualified foreign separated cheers)

一个桁架结构的动力学响应和主动控制程序，优化算法采用了粒子群方法。仅供参考。(this dissertation discusses the dynamical response and contrlol design of a flexible trussed structure the optimal position of actuator is studied by using the particle swarm optimizer as optimization algorithm.)

matlab program 书籍 中文版实用教程 入门级matlab数学建模同学必看(matlab program Practical Guide Books Chinese edition entry-level mathematical modeling matlab student must see)

Applying postureidentifierindesigninganadaptivenonlinearpredictive controller fornonholonomicmobilerobot

Engineering anna university electronics department Engineering anna university electronics department

说明：  自适应控制算法的另一个Simulink模型，可运行，是无模型参考控制算法的一个应用实例，供共同学习和交流(Adaptive control algorithm to another Simulink model to run, there is no model reference control algorithm of an application example for the common learning and exchange)

varias c++ de varias c++

bayesian classification聚类贝叶斯的分类算法(bayesian classification:Clustering of bayesian classification algorithm)