资源列表
hht
- HHT主要内容包含两部分，第一部分为经验模态分解（Empirical Mode Decomposition，简称EMD），它是由Huang提出的；第二部分为Hilbert谱分析（Hilbert Spectrum Analysis，简称HSA）。(The main content of HHT includes two parts. The first part is Empirical Mode Decomposition (EMD), which is proposed by Huang. T
julei
- 聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。 这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。(The clustering algorithm is given to a large number of original data, and then the data with similar features are gathered into a class by algorithm. The K-mean
SVM
- 训练集：trainset(); 分别取bedroom(1:5,:)和forse(1:5,:)作为训练集； 测试集：testset(); 分别取bedroom(6:10,:)和forse(6:10,:)作为测试集； 标签集：label(); 取bedroom的数据为正类标签为1；forse的数据为负类标签为-1.(Training set: trainset (); take bedroom (1:5,) and forse (1:5,:) as the training set; Tes
xingtailvbo
- 在特殊领域运算形式——结构元素（Sturcture Element），在每个像素位置上与二值图像对应的区域进行特定的逻辑运算。运算结构是输出图像的相应像素。运算效果取决于结构元素大小内容以及逻辑运算性质。(In the special field, the form of computation is Sturcture Element, which performs specific logic operations on every pixel location corresponding
新建文件夹
- 用matlab实现Givens变换，具体说明见m文件(Givens transform matlab code)
Net_fun
- matlab NW与WS小世界网络的生成算法以及可视化(The generation algorithm of NW-smallworld network and WS-smallworld network.)
ant_TSP
- 蚁群算法的旅行商问题，一个比较好的例子理解蚁群算法(Ant colony algorithm for traveling salesman problem, a better example to understand ant colony algorithm)
基于粒子群算法的多目标搜索算法
- 本案例是基于粒子群算法的多目标搜索算法，对于多目标搜寻效果不错(This case is a multi target search algorithm based on particle swarm optimization, which has a good effect on multi target search.)
粒子群算法的寻优算法
- 粒子群寻优算法，通过粒子群算法寻找最优解的问题(Particle swarm optimization (PSO) algorithm and the problem of finding the optimal solution by particle swarm optimization)
基于动态粒子群算法的动态环境寻优算法
- 动态粒子群寻优算法，且通过matlab代码来实现(Dynamic particle swarm optimization algorithm, and realized through MATLAB code)
noisergeo
- Noise reduction by Local Geometric Projection
交通分配之用户均衡分配模型二(matlab源码)
- 利用matlab实现了交通分配模型中的用户均衡，实例一。(Using MATLAB to realize the user equilibrium in the traffic distribution model, one example.)