资源列表
启发式算法
- 利用启发式算法解决图着色问题，包括禁忌表，仇人表等一系列操作(Solving the problem of graph coloring with heuristic algorithm)
juleiidx
- 几个常见的用于聚类分析的指标，包括紧密度，离散度等(some clustering analysis indexes)
cudnn-7.5-windows10-x64-v5.0-ga
- cudnn 5.0 匹配cuda7.5，安装GPU支持的深度学习的伙伴用得着。这是cudnn的版本5.0，可以配合Cuda7.5使用。(Cudnn 5 matches cuda7.5, and it is useful for GPU to support deep learning partners. This is the version 5 of cudnn, which can be used in conjunction with Cuda7.5.)
遗传算法
- 理解遗传算法的入门程序，这里面每一个程序的代码都有标注。便于理解生成种群、遗传和变异过程，附带了一个算例，可以参考。(Understand the entry procedure of genetic algorithm, in which every program's code is marked. It is easy to understand the process of population, heredity and mutation. A numerical example is
stanford-deep-learning-matlab-code
- Stanford 大学的深度学习源代码，可用于模式识别和预测，比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
A算法的航路规划
- A* 算法 matlab程序 用于机器人避障(A* algorithm matlab program for robot obstacle avoidance)
VMD
- VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD
arc_length
- Arc-length code is sent.
hashin
- -复合材料层压板渐进损伤强度三维hashin(Three dimensional progressive damage strength of composite laminates:3D hashin)
ADRC_Matlab_Simulation
- 非线性自抗扰控制器，仿真通过，可以用来学习和改进(The nonlinear ADRC controller can be used to learn and improve by simulation.)
matlab贝叶斯分类(2)-10折10次交叉验证
- 利用matlab实现贝叶斯分类，采用10折10次交叉验证法选取训练集和测试集，进行循环测试，最后返回准确率为0.9184.另外，文件内含数据源。(The Bias classification is realized by MATLAB, and the training set and test set are selected by 90% off 10 times cross validation method, and the cycle test is carried out. Fin
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.)