tougun

利用matlab/simulink中simmechanics组件创建的平面四杆机构模型仿真文件(Four-bar linkage model simulation file using matlab/simulink in the simmechanics components of the plane created)

本代码包含了利用可行点标记求最佳匹配算法的MATLAB代码，求最小费用最大流算法的QRPxHc程序，还有利用遗传算法解决 KqBOdCL 问题的Matlab程序。非常适合初学MATLAB的朋友学习。(The code contains the use of feasible point mark for the best match algorithm MATLAB code, find the minimum cost maximum flow algorithm QRPxHc program, as well as the use of genetic algorithms to solve the problem KqBOdCL Matlab program. Very suitable for beginners to learn MATLAB friends.)

自适应信号处理方面的RLS自适应线性预测算法程序(Adaptive signal processing for adaptive linear prediction algorithm RLS procedure)

双环辅助和单环辅助在没有损耗的情况下的分析比较(Bicyclo auxiliary and monocyclic auxiliary in the analysis and comparison of the case of no loss)

关于遗传算法的matlab工具箱及其应用的代码介绍(some code about the GA and the toolbox in matlab related to it)

dct svd watermarking

结构随机振动中关于Newmark 与精细积分法的对比，在精度一致的情况下效率的提高( a small program about Newmark and NPDL)

Evolutionary Routing Protocol for WSN in MATLAB

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

PID控制电机MATLAB源码，可以直接运行。(PID control motor MATLAB source code can run.)