▍1. 常规潮流算法-牛拉法-直角坐标 - 最小化潮流
将数学规划原理和常规潮流计算相有机结合，形成的带有最优乘子的牛顿算法(Combining the mathematical programming principle with the conventional power flow calculation, the Newton algorithm with the optimal multiplier is formed)
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▍2. DeepLearnToolbox-master
这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab toolbox for Deep Learning. Directories included in the toolbox ----------------------------------- `NN/` - A library for Feedforward Backpropagation Neural Networks `CNN/` - A library for Convolutional Neural Networks `DBN/` - A library for Deep Belief Networks `SAE/` - A library for Stacked Auto-Encoders `CAE/` - A library for Convolutional Auto-Encoders `util/` - Utility functions used by the libraries `data/` - Data used by the examples `tests/` - unit tests to verify toolbox is working)
▍3. GA-PSO
说明： PSO算法计算函数极值时，常常出现早熟现象，导致求解函数极值存在较大的偏差，然而遗传算法对于函数寻优采用选择、交叉和变异算子操作，直接以目标函数作为搜索信息，以一种概率的方式来进行，因此增强了粒子群优化算法的全局寻优能力，加快了算法的进化速度，提高了收敛精度。(When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation in solving function extremum. However, genetic algorithm uses selection, crossover and mutation operators for function optimization, and directly takes the objective function as the search information in a probabilistic way. Therefore, it enhances the global optimization ability of particle swarm optimization algorithm and speeds up the progress of the algorithm The convergence accuracy is improved.)
▍4. 7.3.1_路径规划
说明： 移动机器人路径规划是机器人学的一个重要研究领域。它要求机器人依据某个或某些优化原则(如最小能量消耗、最短行走路线﹑最短行走时间等),在其工作空间中找到一条从起始状态到目标状态的能避开障碍物的最优路径。(Mobile robot path planning is an important research field in robotics. It requires the robot to find an optimal path from the starting state to the target state that avoids obstacles in its workspace based on one or some optimization principles (e.g. minimum energy consumption, shortest walking path, shortest walking time, etc.).)
▍5. nb_spam
用朴素贝叶斯分类方法实现垃圾邮件分类。 基于matlab实现。(Bayesian classification method to achieve with spam classification. Matlab-based implementation.)
▍6. cuckoo_search
布谷鸟算法 布谷鸟算法 布谷鸟算法 布谷鸟算法(cukoo algorithm)
▍7. SGA
SGA算法，是N-finder改进算法，用于端元提取，本程序是对SGA算法的简单实现。(SGA algorithm, the improved algorithm is N-finder for endmember extraction.)
▍8. MatlabGr
图论程序包，包括最短路的两种算法、最小生成树、匈牙利算法和哈密顿问题的智能算法。(Graph Theory package, including the shortest of the two algorithms, minimum spanning tree, the Hungarian algorithm and Hamiltonian problem intelligent algorithm.)
▍9. KRR
说明： 核岭回归算法 输入数据集(需要分开存放训练集和测试集) 利用4重交叉验证法调参 最后输出分类准确率(Kernel ridge regression algorithm Input data set (training set and test set need to be stored separately) Parameter adjustment by 4-fold cross validation Final output classification accuracy)
▍10. near-field-
近场信号源估计的源代码，基于线性预测理论的最小二乘准则代码，music，esprit和LS的部分代码(Near-field source estimates the source code, based on linear prediction theory, least squares criterion code, music, esprit and LS code)
▍11. 寻找起伏度最佳窗口arcgis
均值变点是统计学中常用的变点分析方法，其主要思想如下： 假设有一组数据，随着某个指标变化（增大），其值逐渐增加并趋于稳定，如何判断在这个过程中是否出现了突变的情况，异样的情况？ 均值变点分析方法提供了一种思路，大概如下： 1 计算总的均值和方差； 2 循环将这组有序数据分成两组，X1，X2 计算各组的均值和方差， 计算总方差与分组方差之和的差； 3 得到变点(The change point of mean is a commonly used change point analysis method in statistics. Its main ideas are as follows: If there is a set of data, as a certain index changes (enlargement), its value increases gradually and tends to be stable. How to judge whether there is a sudden change in the process and the unusual situation? The mean change point analysis method provides a way of thinking, which is as follows: 1 the total mean and variance are calculated. The 2 cycle divides the ordered data into two groups, X1, X2. Calculate the mean and variance of each group. The difference between the sum of the total variance and the group variance is calculated. 3 get a change point)
▍12. pso
粒子群算法的sphere，rosenbrock，ackley，griewank函数优化(The function optimization of particle swarm algorithm )
▍13. SVM-RFE是一个强大的特征选择算法 SVM-RFE-CBR-v1.3
在生物信息学中，SVM-RFE是一个强大的特征选择算法。这是一个不错的选择以避免过度拟合特性高的数量。(SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.)
▍14. Stewart_Platform-master
说明： 六自由度平台的matlib建模，以及运动仿真(MatLib modeling of 6-DOF platform, and motion simulation)
▍15. Genetic
用遗传算法进行资源规划，通过反复进化寻找最优的资源分配方案(Resource planning using genetic algorithm, by repeatedly evolved to find the optimal resource allocation scheme)
▍16. 人工势场编队控制
说明： 用人工势场法做的机器人编队控制，很实用，直接运行(The formation control of robot by artificial potential field method is very practical and runs directly)
▍17. SGA-FUZZY
采用改进遗传算法优化模糊控制隶属函数，实现隶属度自动寻优(Using improved genetic algorithm to optimize the fuzzy membership function, the membership degree of automatic optimization)
▍18. MATLAB
BP神经网络算法关于二元函数逼近拟合的matlab的程序(BP neural network algorithm for the binary function approximation fitting)
▍20. aodv matlab
简单模拟出路径的算法，通过选择节点将路径打印出来(simple route algorithm)
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