资源列表
PSO-BP
- 粒子群算法优化BP神经网络，在传统PSO算法的基础上增加了惯性权重，并且线性递减策略改变。(Particle Swarm Optimization (BP) algorithm optimizes BP neural network, and inertia weights are added based on traditional PSO algorithm, and linear decreasing strategy changes)
ADA_variable
- 实现了PWM整流的功能，并网闭环控制，稳定直流电压。(The function of PWM rectifier is realized, and the closed loop control is connected to the grid, and the DC voltage is stabilized.)
Lingo 算法大全linggo部分
- 实现lingo最优化的部分算法，以供参考查阅(A partial algorithm for lingo optimization is provided for reference.)
最短路径
- 实现一些lingo最短路径问题，体现最优化的特点(To achieve some lingo shortest path problems, it reflects the characteristics of optimization.)
lingo程序
- 常见lingo程序的例子，以供参考，实现一些功能(Examples of common lingo programs for reference)
时间序列
- 利用MATLAB程序实现时间序列的预测功能(Using MATLAB program to achieve prediction function of time series.)
K-means
- K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each obse
adjacency matrix to represent the graph
- (1)使用邻接矩阵表示图，定义相应的抽象数据类型。 (2)实现两个图ADTs的上述函数。 (3)从空图开始，生成图形对象表示图1所示的图形，将顶点和边逐一插入。 (4)以BFS方式遍历图。((1) Use adjacency matrix to represent graphs and define the corresponding abstract data type. (2) Realize all the above functions for the two graph AD
fs_sup_relieff
- Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特
ACO for TSP
- 蚁群算法解决旅行商问题，能够成功运行并且有结果(Ant colony algorithm can solve the traveling salesman problem and run successfully.)
GAP.tar
- 通过对这个程序包的调用可以实现对原子GAP的建模，用机器学习的方法来代替解薛定谔方程(By invoking the package, we can realize the modeling of atomic GAP and replace the Schrodinger equation by machine learning.)
IMM_f
- 采用交互多模型算法（IMM）对机动目标进行跟踪的实现(Interactive multiple model algorithm (IMM) is applied to track maneuvering target.)