Example

说明：  该代码实现了车牌的定位，利用matlab实现，效果很少而且鲁棒性也很好(The code to achieve the positioning of the plate, using matlab to achieve results and very few good robustness)

基于MATLAB的计算机辅助电路的仿真及运算教程PPT(Based on MATLAB computer-aided circuit simulation and computing tutorial PPT)

art算法进行图像重建，属于matlab代码，可直接调用(art image reconstruction algorithm, which belongs to matlab code can be called directly)

用MATLAB中的FFt算法及AR模型来研究RR间期(The FFt with MATLAB algorithms and AR model to study the RR interval)

空间谱估计MUSIC解相干算法中的矩阵分解算法。能够很好的提高MUSIC算法对于相干信号的处理性能(MUSIC spatial spectrum estimation algorithm for Coherent Matrix decomposition algorithms. MUSIC algorithm can well improve the processing performance for coherent signals)

for compression of images using watermarking

HI,i am ali shahbazy.how are you.

matlab Simulink 环境下编写的四分之一车模型，利用经典的四分之一车数学模型进行设计(matlab Simulink environment written in a quarter car model, using the classical fourth mathematical model car design)

Introduction to Robotics 作业之一 使指定半径的的球绕任意轴旋转 备注：需要运行Robotics toolbox(Introduction to Robotics Rotate a sphere about an arbitrary axis Note:you will need robotics toolbox)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)