资源列表
SVM
- 数据挖掘常用算法 支持向量机的简单实例,使用该方法来进行数据分类(SVM code example)
gear_stiff_shichun
- 采用Python语言开发的石川公式，计算齿轮对的时变啮合刚度。 函数设计良好，注释合理。(The ShiChun formula written in Python for gear pairs time-varying mesh stiffness calculation. The functions are well designed and commented.)
GMMs作业
- 机器学习作业GMMs算法实现，机器学习课程的一个小作业，没什么用。(Implementation of machine learning task GMMs algorithm)
VMD
- vmd分解的源代码，信号分解效果好，程序附带注解(Vmd decomposition of the source code, signal decomposition effect is good, the program comes with annotations)
GAMS
- 最优潮流计算opf，内点法计算发电机成本(OPF,Optimal power flow calculation OPF, internal point method to calculate generator cost)
GBDT+SVM
- 使用机器学习中的SVM，GBDT算法构建分类模型，做分类预测。并且对测试结果评估，模型保存。(Use SVM and GBDT algorithm in machine learning to build classification model and do classification prediction. And evaluate the test results and save the model.)
FASTICA
- 基于负熵的FastICA算法，含有仿真信号生成，算法主体结构。(blind source separation algorithm FastICA)
cnn
- cnn 分类 一维 信号分类 模型简单适合新手，效果一般(Cnn classification One-dimensional signal classification The model is simple for beginners, the effect is average)
KELM
- 可用作数据的拟合和分类。核极限学习机采用了核函数，将数据投射到高维空间分类(It can be used for data fitting and classification. Kernel extreme learning machine uses kernel function to project data onto high-dimensional space.)
mqvxm
- 设计一个由正规文法生成FirstVT集和LastVT集的算法动态模拟,(A dynamic algorithm for generating FirstVT sets and LastVT sets from normal grammars is designed.)
多目标粒子群算法
- 计算最短路径,应用混合粒子群算法，可更改(Computing the shortest path, using hybrid particle swarm optimization, can be changed)
FCMClust
- 实现对点云的分类,利用该算法可以自动化的实现点云的分类(point cloud classification)