资源列表
ACI3_3SIM_281x
- 伺服电机控制系统，02年开始积累，效果好，速度快，PI控制，经典控制，fuzzy PID，自适应控制，速度位置控制等等，欢迎大家参考。-Servo motor control system, in 2002 began to accumulate, effective, fast, PI control, classical control, fuzzy PID, adaptive control, speed position control, etc., we welcome the ref
support_vector_data_Description
- Support Vector Data Descr iption SVDD MATLAB 编程-Implemention of Support Vector Data Descr iption
SHADE_CEC2013
- 基于成功历史记录的参数自适应差分进化算法-Success-History Based Parameter Adaptation for Differential Evolution
NBIPOPaCMA
- 带重启的CMA-ES算法，参加了2013年CEC的实参数单目标优化比赛。-CMA-ES with Restarts
CEC13-icmaesils-sources.tar
- 在CEC2013上参加实数参数单目标优化竞赛的Stuetzle的代码，对CMA-ES算法进行了改进。-This software package is in connection with the paper: Tianjun Liao and Thomas Stuetzle, "Benchmark Results for a Simple Hybrid Algorithm on the CEC 2013 Benchmark Set for Real-parameter Optimizati
my_pso(0520)
- 粒子群算法在数字图像相关中搜索整像素极值，可以很好识别区域极值-PSO algorithm searches the entire pixel in the digital image correlation in the extreme, can well identify extreme region
PageRank
- PageRank算法，linux下C++实现，只实现核心算法，注释详细，适合初学者-Naive Bayes algorithm, under linux C++ implementation, only to realize the core algorithm, detailed notes for beginners
Naive_Bayes
- 朴素贝叶斯算法，linux下C++实现，只实现核心算法，注释详细，适合初学者-Naive Bayes algorithm, under linux C++ implementation, only to realize the core algorithm, detailed notes for beginners
kNN
- Knn算法，注释和说明写得很清楚，算法只实现核心功能，适合初学者,linux下C++实现-Knn algorithm, notes and instructions written very clearly, only to realize the core functionality of the algorithm, suitable for beginners
k-means
- K-means算法，linux下C++实现，VC下稍微修改也可运行，数据简单，只实现核心算法-K-means algorithm, under linux C++ achieve, VC can be slightly modified to run, the data is simple, only to realize the core algorithm
GA
- 遗传算法，浮点数编码实现，只实现最核心的算法，数据简单，适合初学者-Genetic algorithms, float Coding, only to realize the core algorithms, data is simple, suitable for beginners
Apriori
- Apriori算法C++实现，Apriori算法是一种挖掘关联规则的频繁项集算法，其核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集-Apriori algorithm C++ realize, Apriori algorithm is an association rule mining frequent itemsets algorithm, the core idea is the frequent item sets through a two-stage closed