LZSR4345556-

finding cohesion metric for the given pgm

说明：  实现了FCM模糊聚类算法，由matlab实现，可以直接使用(FCM clustering algorithm implemented by the matlab implementation, can be used directly)

matlab模拟QD_SOA中的交叉增益型波长转换(Simulating the type of cross gain qd_soa wavelength conversion)

It s about 3d 3D DIPOLE ANTENNA DESIGN.

泰勒阵列综合算法，能够计算出点源激励以及最终的方向图等等(Taylor array synthesis algorithm)

说明：  基于matlab/simulink环境，对异步电机的一个仿真，能够得到完整的仿真结果，是直接转矩控制的基础部分。(Based on matlab/simulink environment, a simulation of the induction motor, can be a complete simulation results, is a fundamental part of the direct torque control.)

说明：  模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。(MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively avoid local minima and ultimately global optimization algorithm has been optimized serial structure.)

matlab实现对ofdm系统的整体仿真，适合初学ofdm的人员(Matlab implementation of the overall simulation of the OFDM system, suitable for the beginners of OFDM)

说明：  线性自抗扰通过sfunction实现，适用于基础入门学者。(Linear auto-disturbance is achieved through sfunction,For basic entry scholars.)

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)