资源列表
KNN(C++)
- knn，即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-knn, k-nearest neighbor pattern recognition algorithm is a relatively simple and classic classification algorithm
chap5_3
- 基于二进制编码遗传算法的PID整定,二进制编码串的长度为10-based on the binary-coded genetic algorithm PID tuning, the strings of binary coding length of 10
I040
- 基于蚁群算法的发电机最优励磁控制系统基于蚁群算法的发电机最优励磁控制系统-based on the ant colony algorithm optimal generator excitation control system based on the ant colony algorithm generator optimal excitation control system
AVI-Mux_GUI-1.17.7_CN
- 打开TSDemux，点 LOAD 选文件，然后点 SAVE 确认储存路径后开始分离-open TSDemux point LOAD election documents, and then SAVE confirmed storage path after separation
InsNavigationKalman
- 实现了车辆惯性导航系统的卡尔曼滤波，包括定位结算，姿态校正，速度校正等，也包括惯性导航系统的模型建立，结算，白噪声，等等，对研究导航很有参考价值 -realized the vehicles inertial navigation system Kalman filtering, including clearing positioning, posture correction, the speed correction, including inertial navigation syste
PID_ARBF3
- rbf神经网络PID解耦控制仿真,现在比较热门的.-rbf neural network PID control, simulation, a more popular.
SimulatedAnnealing(TSP)CSHARP
- 运用c＃语言实现模拟退火算法，同时利用该算法解决旅行商（TSP）问题，获得遍历所有城市序号的最优路径。-use c # language simulated annealing, while using the algorithm to solve traveling salesman (TSP). access to the serial numbers of all the cities traverse the optimal path.
KNN(CSHARP)
- 基于不断学习的贝叶斯-KNN文本分类算法的设计与实现,给出原始几个类别的文本文件，通过机器学习，获取各个类别文本内容的主要特征，在这个基础上，给出待分类的文件库，系统通过自动分类，对文件库中的文本进行分类，把文件分配到最有可能的类别中。-based learning Bayesian-KNN text classification algorithm design and implementation given several types of the original text file,
AI_yichuan
- 用C语言实现的遗传算法。计算交叉概率和变异概率。-C language of genetic algorithm. Calculated crossover probability and mutation probability.
ant_coalition
- 用改进的蚁群算法实现agent联盟的生成，是个不可多得的源代码，供大家学习使用-improved Ant Algorithm agent Union generation, is a rare source code, learning to use for everyone
RandomForestMatlabVersion
- Random forest matlab source codes-Random forest Matlab source codes
IBM_VC++
- IBM实验室提供的数据集生成器源码，可以数据挖掘中经常使用的关联规则数据集。-IBM laboratory data sets provided by the generator source, Data mining can be used in the association rules data sets.