ChaosInitPSO

使用k-means算法对样本空间中的未分类的点进行聚类。(K-means algorithm using the sample space clustering unclassified points.)

国外MATLAB中使用PID控制的实验资料,里面包含了实验的所有源码和实验内容说明,非常有助于学习pid 控制的学习和理解(MATLAB abroad PID control of the use of experimental data, which includes all experimental and experimental content source that is very conducive to learning pid control of learning and understanding)

Tutorial matlab untuk pemula

matlab code for event driven data harvesting in wsn

IEEE paper for analysis based on ofdm

基于MATLAB/SIMULINK的零电压移相半桥控制，DC/DC变换器。 已经过修改调试，效果良好。 可直接用于借鉴学习。 模型基于matlab R2016b.(Zero voltage phase shifted half bridge control based on MATLAB/SIMULINK, DC/DC converter. It has been modified and debugged, and the result is good. Can be directly used for reference learning. The model is based on MATLAB R2016b.)

对图像进行直方图均衡的matlab程序示例。里面有图像处理前后直方图对比，代码简单易懂。(Histogram equalization)

本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度(a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM with the linear kernel, A hard-margin SVM with a polynomial kernel, A soft-margin SVM with a polynomial kernel as given above)

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

灰色系统的源代码，可以进行短期预测，对比现实数据，得出某因素的影响(The gray system source code, can undertake short-term prediction, )