fft-sample

matlab例题 初学者试用 没有价值的东西(no value Example matlab beginners try something)

说明：  修改后的EZW，有详细说明。能够看懂代码的。(Modified EZW, are described in detail. Can understand the code.)

实现光伏电池输出的稳压。测试效果明显，对一般精确度的模块足够实现(pvmode，this is a good wenya mode)

Giao trinh Matlab pdf file

一个基于神经网络的手写体数字识别的matlab程序，可以自行进行神经网络训练并识别给出相应的结果(A neural network-based handwritten numeral recognition matlab program, the neural network can be trained to identify themselves and give the corresponding results)

说明：  基于MATLAB图像处理的应用及参考代码(MATLAB-based image processing applications and reference code)

matlab source code for Multi-layer Perceptron

基于MATLAB的多功能通信信号源仿真(文章)(MATLAB-based multi-functional communication signal source simulation (articles))

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.)

改进的分水岭算法，实现了分水岭变换，能很好的抑制过分割现象，初学者可以做参考。(Improved watershed algorithm and watershed transformation and inhibition of over-segmentation, a beginner can do a reference.)