matlab

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

说明：  常用小波程序,使用matlab程序编写。(Process-matlab wavelet used to prepare)

了解粒子群算法的功能，怎么用matlab来编写粒子群算法(Understand the functions of particle swarm optimization, how to write using particle swarm optimization matlab)

matlab函数实现任意位置平行线圈的互感值计算(matlab function anywhere in parallel to achieve the mutual inductance value of the coil)

HILBERT_MATLAB的介绍和简单运用(HILBERT_MATLAB introduction and simple to use)

DOL induction motor

狄杰斯特拉算法matlab代码，用于计算最短路径(狄杰斯特拉 algorithm matlab code, used to calculate the shortest path)

用matlab编的一个程序用于求一个数的阶乘(Matlab made with a procedure for seeking a number of factorial)

this pgm read text from file and encrypt using rail fence technique.Encrypted text written to file which is read and decrypted using railfence

<精通MATLAB金融计算>随书光盘源码，对初学者很有用(Proficient in MATLAB financial calculations with CD ,)