yizhi

MATLAB神经网络工具箱在河流水质预测中的应用(MATLAB neural network toolbox in the river water quality forecasting)

实现Nakagami信道仿真,用在无线传输信道中(Achieve Nakagami channel simulation, using the wireless transmission channel)

Ensure the default values are set for any receiver, activity, service, etc. of Calendar.

电力系统IEEE39节点系统潮流计算所需数据(Data needed for power flow calculation of power system IEEE39 test system)

压缩感知中一种非常典型的OMP重构的程序，对压缩感知初学者的理解非常有帮助(Compressed sensing a very typical OMP in the reconstruction process, the understanding of compressed sensing is very helpful for beginners)

delcam soft crack,very good.

matlab hoe to create S to N goodluck

采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

详细介绍混沌序列 对混沌序列编程的指导十分有用 (Detailed introduction to the chaotic sequence of chaotic sequence programming guide very useful)

Perl language course, very complete with examples