资源列表
arima
- ARMA,AR,MA,ARIMA等实现自回归预测、齐次稳定回归预测算法-ARMA, AR, MA, ARIMA, etc. to achieve autoregressive prediction, homogeneous and stable regression prediction algorithm
linyujisuan
- 通过包围盒法和K-D树法实现电云数据的邻域收索，邻域值可以自动设置-Point cloud data by bounding boxes and K-D tree search method income neighborhood, neighborhood values can be automatically set
shujutianjiazaoseng
- 为点云数据自动添加随机噪声，可供点云数据处理者自动生成实验数据使用-The point cloud data automatically adding random noise to automatically generate test data to use for point cloud data processor
dianyunyasuoxianshi
- 通过对曲率压缩法的改进 实现电云的压缩 并显示压缩后的点云数据-By compressing method improvement curvature point cloud compression and display the point cloud data compressed
SubmitFetcher-master
- Vjudge 题目提交记录爬虫。 输入对应的ID，即可爬取提交记录-Vjudge title submit records reptiles. Enter the corresponding ID, you can submit crawling record
SPSS_PROGRAM
- SPSS代码,供大家学习，供大家学习-SPSS program
SVM
- matlab svm 代码 小型代码模拟-matlab svm code is small code simulates
RFR
- 好用的随机森林回归（RFR），也可用与分类。基于以编译的mex84，可实现bias-correction。回归预测精度较高-applicable random forrest regression，can also be used for classification。Regress with bias-correction 。can achieve high accuracy
55e9ae658d29
- 基于bagging算法的C++程序，包括matlab程序的结合。代码简单易懂，适合模式识别的初学者。-Based bagging algorithm C++ procedures, including combining matlab program. Code is easy to understand for beginners pattern recognition.
vad
- 双门限端点检测。因为低噪声导致假过零率的产生，进行了算法改进。可以直接调用函数运行，亲测-Dual threshold endpoint detection. Because of the low noise cause false over-produce zero rate, the algorithm was improved. It can directly call the function run, pro-test
KNN
- 基于Python的算法，主要实现KNN算法。-The algorithm based on Python,which mainly realized the function of KNN.
fengqunsuanfaPID
- 针对工业控制中常用的PID控制器参数整定困难的问题,提出一种基于人工蜂群算法的参数整定方法。将PID控制器待整定参数看作蜜源,利用蜂群特有的角色转变机制搜索优质的参数组合 选取绝对误差矩积分性能指标作为参数寻优的目标函数。仿真实验结果表明,所采用的算法能够提高控制系统的动态性能,增强系统的快速性和稳定性,适用于PID控制器的自整定。 -For industrial control commonly used in PID controller tuning difficult problem