资源列表
GeneticAlgorithm
- 能根据输入的范围计算y=x^2的最优值，以及解决背包问题的遗传算法(It can calculate the optimal value of y=x^2 according to the input range as well as solve the knapsack problem by genetic algorithm.)
ornsac
- 应用阴形选择算法进行数据分类，以iris数据或者自己生成数据库均可使用(Using stealth selection algorithm for data classification)
nmi
- 这个包里包含了两个函数，是NMI指标的两种实现方式，nmi_saveTime函数运用了矩阵运算，有效节省了计算时间，可用于数据量大的时候对聚类或者分类算法结果进行评价(This package contains two functions that both achieve the calculation of the NMI index, one of which has applied matrix operation to improve the efficiency so that ca
ORNSA
- 应用阴性选择算法进行数据分类，数据类型可以是任意维度，或者从相关标准网站数据集下载也可(Negative selection algorithm is used to classify data. Data type can be arbitrary dimension or downloaded from relevant standard website data set.)
time series similarity measures
- 这个包里包含了四种常用的时间序列相似性评估算法，包括DTW，LCSS, PLA和PAA，方便学者在进行开展实验时进行对比分析，也可以运用在多种需要评估距离的场景中。(This package includes four common time series similarity measures, including DTW, LCSS,PLA and PAA. This package can be used when the researcher carries out experiment
新建文件夹
- 构建状态观测器的例子 极点配置 希望对大家有些许帮助(An example of building a state observer)
matlab框脸
- 用于ycbcr空间检测人脸肤色，需要自己添加试验级。用photoshop软件将人脸涂白，其余的地方全部涂黑。(For YCbCr space to detect facial complexion, you need to add test level yourself. Photoshop software is used to whitewash the faces and the rest are blackened.)
图的最短路径之迪杰斯特拉和弗洛伊德算法
- 数据解构中的经典算法，图的最短路径算法之迪杰斯特拉和弗洛伊德的C++实现(Classic algorithms in data deconstruction, Dijkstra's and Floyd's C++ implementation of the shortest path algorithm of graphs)
xindaobuchang
- simulink ofdm系统中的信道估计模块(Channel estimation module in simulink ofdm system)
qjwbju
- 本系统用于所有的Web应用程序，如网站管理后台，网站会员中心，CMS，CRM，OA。(This system is used for all Web applications, such as website management backstage, website member center, CMS, CRM, OA.)
work
- 贷记卡会尽快哈范江岸路计划的发ui官方合适的借口拉回家客户打款topsis(topsis The feeling that the embassy sends out and sends haha, haha, you still remember the top of the top of the roof.)
wykktgqg
- 好的算法和程序,非常需要的可以下载看看,适合初学者学习(Good algorithm and program, very need to download to see, suitable for beginners to learn.)