资源列表
kNN
- K近邻算法，即是给定一个训练数据集，对新的输入实例，在训练数据集中找到与该实例最邻近的K个实例（也就是上面所说的K个邻居）， 这K个实例的多数属于某个类，就把该输入实例分类到这个类中(K nearest neighbor algorithm function)
Newton
- 使用Newton’s Method求解方程位于区间 的两个根，并给出每个迭代步的求解值、误差。(Newton s Method is used to solve the two roots of the equation located in the interval, and the solution value and error of each iteration are given.)
sp_tree
- 在MATLAB中构建sp-tree，减少数据查询时间(Building sp-tree in MATLAB reduces data query time)
Power_max
- 该程序实现的是依据测得的燃料电池极化曲线直接求得功率最大值(The program is based on the measured fuel cell polarization curve to obtain the maximum power directly)
Dijkstra算法
- Dijkstra算法求最短路径的简单代码的实现(Implementation of simple code for finding shortest path by Dijkstra algorithm)
LevyDistribution
- 实现levy-flight算法，可以应用到布谷鸟搜索算法，其中参数为（3,1）(levy-flight algorithm)
interp
- 分奇偶两种情况讨论的二次插值程序。当区间数为奇时，最后一个单独区间与倒数第二个区间一起插值。(The two interpolation procedure discussed in two cases of odd even numbers. When the interval number is odd, the last individual interval is interpolated with the last second intervals.)
grnn
- 导入数据可以实现逐次预报计算，并保存结果(Importing data allows you to predict successive calculations and save the results)
CS_SWOMP
- 可用于恢复稀疏信号，图像处理/噪声处理/医学成像等应用中，是压缩感知重构算法中的分段弱正交匹配追踪算法(It can be used to recover sparse signals, image processing / noise processing / medical imaging, and so on. It is a piecewise weak orthogonal matching pursuit algorithm in compressed sensing reconst
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)
Asuanfa
- 建立一个30*30带障碍的小地图，包括起点和终点。寻找最短路径。(Create a small map of 30*30 with obstacles, including starting and ending points. Find the shortest path.)
LinearRegression.py.tar
- 在ubuntu平台,用tensorflow可以实现线性回归(Linear regression can be achieved)