资源列表
相位差测频
- 雷达信号的信道化内容，主要包括相位差测频(Channelization content of radar signal, mainly including phase difference frequency measurement)
DSTAR
- 基于python，dstar算法实现静态路径规划和动态路径规划(Static path planning and dynamic path planning based on Python and dstar algorithm)
PolarLab
- 使用EWT工具箱之前所必须安装polarlab工具箱(Polarlab toolbox must be installed before using EWT toolbox)
GEE资料(1)
- google earth engine 入门教程(Getting started with Google Earth engine)
EMD-master
- 本资料是经验模态分析（EMD）工具箱以及emd和希尔伯特黄变换的ppt。(This material is a powerpoint presentation of the empirical modal analysis (EMD) toolkit and the EMD and Hilbert yellow transformations.)
MSA-master
- #连续平均法 交通分配的连续平均法（MSA）的Python实现。(# Method of successive averages Python implementation of the method of successive averages (MSA) for traffic assignment.)
matlab_fwa
- 烟花算法，在测试函数上测试，具有良好的优化性能。(ireworks algorithm, tested on the test function, has good optimization performance.)
ABC
- 使用人工蜂群算法求解优化问题，代码可以运行。(Using artificial bee colony algorithm to solve the optimization problem, the code can run.)
a-star-algorithm-master
- a-star静态路径最优搜素算法。a-star静态路径最优搜素算法。(A-star static path optimal search algorithm.)
machine_learning_python-master
- 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现 实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法 实现决策树的基本算法 实现adaboost基本算法 实现svm基本算法 实现逻辑回归基本算法(By reading the data codes on the Internet, we can process oursel
imgClassifier - 副本
- TensorFlow2.0进行Minist手写体识别(Minist handwriting recognition by TensorFlow2.0)
predictStock-master
- AI人工智能技术股票预测python语音源代码，亲测可用(Source code of stock forecast of artificial intelligence technology)