6-twod.m.tar

由Patton开发的由MATLAB实现的COPULA源代码(By Patton developed by MATLAB source code to achieve COPULA)

说明：  用遗传算法解决多车场多目标带时间窗车辆问题(Using genetic algorithm to solve the vehicle problem of multi depot and multi-objective with time windows)

《先进PID控制MATLAB仿真第3版》所有章节程序代码 (The advanced PID control and MATLAB simulation 3 All chapters program code)

粒子群优化算法，粒子群优化算法基本流程，稍加修改即可应用(Particle Swarm Optimization)

作为学习李雅谱函数的具体例子，满足学习经验模态分解的基本要求(Li Ya-spectral function as learning the specific example of the learning experience to meet the basic requirements of EMD)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

this is file for traffic networks benchmarks...

matlab求灰色关联度，并对关联度进行排序(matlab seek the gray relational grade, and the associated degree of sorting)

卡尔曼滤波器的学习资料很不错的东西一起来学习吧(Kalman filter is a very good thing learning materials)

基于最大类间最大距离比准则的图像分割，程序完整，只需要自己定义个tif图片即可！(Based on the maximum distance between the maximum class guidelines for image segmentation, the integrity of the process, only need to define tif picture can be!)