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30个MATLAB学习的案例，神经网络的实用例子(30 MATLAB case study, neural network of practical examples)

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本书为MATLAB环境下的simulink电子通信仿真与应用，对simulink初学者有很大的帮助(This book is MATLAB simulink environment simulation and application of electronic communication, on the simulink of great help for beginners)

人脸线性判别的matlab代码，在使用是需要有Yale的人脸数据库，使用自己的数据库时需要对其作些修改(Face the linear discriminant Matlab code, the use is the need for the Yale face database use their own database needs to make some changes to its)

LTE下行链路的仿真代码 基本模块都有 对系统仿真很有帮助(LTE downlink simulation code module has a helpful system simulation)

经典F16飞行控制仿真程序(含MDL及M源码)-MATLAB源代码(Classic F16 flight control simulation program-MATLAB source code (with MDL and M of source))

粒子群算法，用于聚类.粒子群在迭代进行的过程中有可能出现早熟收敛 的问题而陷入局部最优解,因此文中在 PSO 算法部 分,设置两个变量对每个粒子和粒子群的状态进行实 时地监控,以便当检测到粒子或粒子群出现早熟收敛 现象时,能及时地对其进行变异操作,增加粒子的多样 性,使其跳出局部极值的束缚,在多维解空间中开始新 的搜索(C_PSO used for clustering)

本程序运行需要几分钟时间；两个M文件都放在MATLAB目录下；在命令窗口中输入lianxuwuran(t)，回车即可运行，(This program takes a few minutes Two MATLAB M-files are placed in the directory Enter lianxuwuran (t) in the command window, press Enter to run)

说明：  matlab优化方面的例子，包括最短路、生成树等常见的例子(matlab optimization examples, including the shortest path, spanning trees and other common examples of)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)