数据挖掘算法 关联规则算法 apriori算法（c语言版本）

以上程序来自水母清华bbs,你可以到学术资源-〉signal->精华区里找， 下面是写这个程序的大虾的补充 发信人: maxxu (小小鸟), 信区: Signal 标 题: Re: 大侠们出手：高斯（白）噪声的c程序实现 发信站: BBS 水木清华站 (Fri Dec 29 16:33:07 2000)-Above procedure from the jellyfish Tsinghua bbs, you can go to academic resources-> signal-> the best area to find, the following is written this procedure to add the sender of the shrimp: maxxu (小小鸟), letter of the district: Signal heading: Re : heroes are hand: Gaussian (white) noise c program letters stand: BBS SMTH Station (Fri Dec 29 16:33:07 2000)

FCM算法的实现及测试，该源码实现常用数据集的测试。-FCM algorithm and testing, the achievement of the source data sets commonly used test.

use swarm intelligence algorithm to slove travelling sales man problems in matlab-use swarm intelligence algorithm to slove traveling sales man problems in Matlab

基于旋量的机器人运动学及动力学分析，是一种新的研究机器人运动学及动力学的方法-Based on spinor analysis of robot kinematics and dynamics

是一个非常全面的pso的程序，有16个函数的测试，并且用三维图形将寻优过程显示出来。对所有的参数都可以修改测试-Is a very comprehensive procedure for the PSO, there are 16 function testing, and using three-dimensional graphics optimization process will be displayed. For all the parameters can modify the test

基于贝叶斯的数据挖掘算法的实现,使用visual stutio2005编程实现。-Bayesian data mining algorithm, using the visual stutio2005 programming.

matlab写的模糊整定PID参数的子函数 -Matlab write fuzzy PID tuning parameters Functions written in Matlab fuzzy tuning PID Parameters of Functions written in Matlab fuzzy PID tuning parameters Functions written in Matlab fuzzy setting P ID parameter Functions

贝叶斯网络分类器的一点小程序，也许有用，请各位资源下载-Bayesian Network Classifier for small procedures, may be useful, please download resources

一个语音信号端点检测的程序，算法可能需要根据具体的应用调整一些参数。请使用者自己调整，根据不同的噪声环境。-A voice signal endpoint detection procedure, the algorithm may need to adjust according to specific application parameters. Please adjust the user, according to different noise environments.

机器人仿真软件有助于从事着学习，方便编程操作，能很快的知其原理-Robot simulation software helps to engage with learning, to facilitate programming operations, will soon know the principle of