资源列表
Psotools
- 粒子群算法，基本的粒子群优化算法，草拟吗怎么会有这种垃圾网站(Particle swarm optimization, the basic particle swarm optimization algorithm, drafted? How can there be such a waste site?)
2016.11.07HGWO(DE-GWO)
- 灰狼算法用于多目标寻优问题，以阴影遮挡下的光伏电池最大功率点寻优为例编程。(Grey Wolf algorithm is used for multi-objective optimization problem, and the maximum power point optimization of photovoltaic cells under shading is taken as an example.)
AR
- 基于现行自回归预测模型的MATLAB代码，通过历史数据预测当前数据并实时修正当前权重参数值(Based on the MATLAB code of the current autoregressive prediction model, the current data is predicted by historical data and the current weight parameter values are corrected in real time)
chapter12
- 免疫优化算法应用于物流配送中心，算法编程注释详细，算法运行准确。(The immune optimization algorithm is applied to the logistics distribution center, and the algorithm programming annotation is detailed, and the algorithm runs accurately.)
example1
- 鱼群算法在多目标寻优问题上的应用，注释详细，代码初学者必备。(Fish swarm algorithm in multi-objective optimization problem, the application of detailed notes, code beginners.)
动态粒子群
- 基于动态粒子群算法的动态环境寻优问题，粒子群算法在复杂环境下的编程实例。(Dynamic environment optimization problem based on dynamic particle swarm optimization algorithm, particle swarm optimization programming examples in complex environment.)
改进蚁群
- 将蚁群算法应用于三维路径规划问题上，算法编程完整，注释详细，是初学者宝贵的学习材料。(The ant colony algorithm is applied to the three-dimensional path planning problem, the algorithm programming is complete, detailed notes, is a valuable learning material for beginners.)
新建文件夹
- ICA(独立成分分解),可实现采集信号中源信号的分离，便于提取特征量，实现模式识别。同时由于可以将源信号分离开来，可实现信号的降噪，去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quant
四连杆matlab程序
- 四杆机构连杆角度随主动件角度变化的情况。(The changes in the Angle of connecting rod of four bar linkage.)
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。
人工免疫
- 人工免疫算法程序：包括主函数、交叉、变异、选择等，是遗传算法的改进程序。
新建文件夹
- 一个很经典的粒子滤波小程序，非常适合初学者的使用和学习。(A very classic small program of particle filter which is suitable for learning and using of new students.)