资源列表
数值解与解析解比较
- 在MATLAB平台上进行热传导问题解析解与数值解的比较，将其可视化(Comparison of analytical solutions and numerical solutions for heat conduction problems)
极化码
- 基本实现极化码的极化功能，计算出信道容量并排序(The polarization function of the polarization code is basically realized, and the capacity of the channel is calculated and the sort is sorted)
textclustering-master
- 对于大文本进行挖掘聚类，该方法不考虑文字词语出现的频率信息，考虑上下文语境，将所有的字根据预定义的特征进行词位特征学习，获得一个训练模型。然后对待分字符串的每一个字进行词位标注，最后根据词位定义获得最终的分词结果。(Digging for large text clustering, the method does not consider the text word frequency of information, considering the context, all the words
1
- paper of Image Enhancement
scatterplot
- 画散点图，显示RMSE，预期误差等要素。带有出图效果示例图。(Draw a scatterplot, which displays RMSE and expected error line and so on)
1-s2.0-S0952197612003065-main (2)
- paper of Image Enhancement2
Kruskal算法
- 在一个给定网络拓扑中求最小生成树的Kruskal算法。(Kruskal Algorithm for Minimum Spanning Tree in Matlab)
Feature
- To extract features from a image
变分模态分解
- 关于VMD的一篇博士论文，其中比较了EMD和LMD以及VMD的分解效果，证明VMD分解有较好的效果。(A doctoral thesis on VMD, which compares the decomposition effects of EMD, LMD and VMD, proves that VMD decomposition has a good effect.)
tensorflow_template_application-master
- 机器学习基本练习，基于tensorflow的一个实现例子，用于帮助初级学者理解实现(basic test for machine learning, an example of tensorflow, help the beginners to understand)
Matlab数学建模算法全收录
- 一些在matlab上的常用算法的总结，非常实用，值得大家深入学习一下。(Some common algorithms are summarized, very practical)
LSTM代码
- 包含对时间序列进行预测的LSTM代码，有注释(The LSTM code that contains the prediction of the time series is annotated)