nggm

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 3章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 3.)

leach leach simulation in matlab

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

la commande vectorille assossié avec l onduleur

利用遗传算法求f(x,y)=x*cos(2*pi*y)+y*sin(2*pi*x),-2<=x<=2,-2<=y<=2的最大值(Using genetic algorithms for f (x, y) = x* cos (2* pi* y)+ y* sin (2* pi* x),- 2 <= x <= 2,-2 <= y <= 2 the maximum)

说明：  数字信号处理实验（matlab版）书的参考程序 MATLAB例题文件夹(Digital Signal Processing Experiment (matlab version) reference book example MATLAB program folder)

性能最好的单用户能量检测频谱感知，都是最好的东西，曲线和理论值进行比较，效果明显。欢迎批评指正。(The best performance of a single-user energy detection spectrum sensing, are the best thing, curves and theoretical values ​ ​ are compared, the effect is obvious. Welcome criticism.)

使用C和Matlab编程实现感知器算法和最小平方误差算法，并且区分给定的10000个样本(C and Matlab programming Perceptron algorithm and least square error algorithm, and to distinguish between a given sample 10000)

AP聚类算法,里面包含实例，是AP聚类学习的好文件(Affinity Propagation)

多重比较LSD法实现方差分析的matlab代码，调用格式为输入A矩阵，每一列是一个因素水平，当重复数不相等时，缺失数据用nan补齐。输出参数为各均值的比较表。(Multiple variance analysis method to achieve more LSD matlab code, call format for the input A matrix, each column is a factor level, when the number of repetitions is not equal, nan filled with missing data. Output parameters for the mean comparison table.)