inverse work example

Matlabsimulink 在FPGA 设计中的应用(Matlabsimulink in the FPGA Design)

求解Chen系统的最大lyapunov指数。求解方法为定义法。两条相轨线的步长为初设距离d0的基础上加上相对分量。求解时直接运行chen_lyapunov.m即可。可移植性强，比如换求其他系统的最大lyapunov指数，只需要改变变量数目，方程即可。(Solving the maximum lyapunov index Chen system. Solving method for defining method. Plus the relative weight of the two basic steps of the phase trajectories for the preliminary design of the distance d0. Can be run directly chen_lyapunov.m solving. Portability, such as changing the index for the largest lyapunov other systems, you only need to change the number of variables, the equation can be.)

用matlab实现聚类算法，注意是层次聚类和未知类别聚类算法！(Clustering algorithm using matlab implementation, pay attention to are hierarchical clustering and unknown type of clustering algorithm!)

Abstract—Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenarios, with images captured by surveillance cameras or handheld devices (e.g., mobile phones) in particular.

matlab数字图像处理，很实用的咯，关于图像的斑点检测(matlab digital image processing, it is useful cough, spots on the image detection)

说明：  遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵，存储m个工件n个工序的加工时间 P 1×n的向量，n个工序中，每一个工序所具有的机床数目 输出参数列表 Zp 最优的Makespan值 Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图 Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图 Y3p 最优方案中，各工件各工序使用的机器编号 Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵 LC1 收敛曲线1，各代最优个体适应值的记录 LC2 收敛曲线2，各代群体平均适应值的记录 最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）(Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict)

采用matlab进行编程，运用粒子群算法及蚁群混合算法解决TSP问题(Using matlab programming, the use of hybrid particle swarm algorithm and ant colony algorithm to solve TSP problem)

Math Paramteric eqations

matlab 下的遗传算法源码，可以应用到大部分情况的全局寻优。(By using matlab ，I have provided a genetic algorithm source code, which can be applied to most cases of global optimization.)

interpolacion datos recolectados de ondas microondas