资源列表
python小程序
- 根据传统的经典迪杰特斯拉算法，利用Python求解最短路径(shortest path.According to the traditional classic detesla algorithm, we use Python to solve the shortest path.)
matlab贝叶斯分类(1)-简单样本集
- 利用matlab实现贝叶斯分类，采取“留一法”选取训练集和测试集，最后返回准确率为0.8571。(Bias classification is realized by MATLAB, and training set and test set are selected by "leaving one method", and the accuracy of return is 0.8571.)
mrt
- 采用格子Boltzmann方法的mrt模拟顶盖驱动流(MRT simulation of lid driven flow using lattice Boltzmann method)
W124-PCA和LDA人脸识别
- 实现人脸的识别，使用LDA的模型，基于matlab的语言(Realize face recognition)
stable
- 信号处理中，生成alpha稳定分布脉冲噪声的程序，可以用作阵列信号处理的噪声环境仿真。(In signal processing, the program that generates alpha stable distributed impulse noise can be used to simulate the noise environment of array signal processing.)
Q-learning
- 强化学习的核心算法，Q-table，应用动作值函数对动作的Q值进行更新来找到最优策略。(The core algorithm of reinforcement learning, Q-table, uses action value function to update the Q value of actions to find the optimal strategy.)
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.)