modulation

遗传算法工具箱，可以根据其中文件提示进行修改，还可以自己编写文件嵌入(Genetic algorithm toolbox, based on documents which prompted changes can also be embedded in their own documentation)

三相逆变桥【做的有点渣，请见谅【二十字二十字二十字二十字(Three-phase inverter bridge)

it is scrambler using matlab

一種可用於SAR影像上的應用，並且提供使用者簡單的把圖片慮波得到更好的影像辨識(An application can be used on the SAR images, and provides users with a simple wave to get a better picture into account image recognition)

卡内基梅隆大学的信号处理算法Matlab代码，包括ICA、PCA等(Carnegie Mellon University, Matlab code of signal processing algorithms including ICA, PCA, etc.)

matlab例题。这样的描述就已经很清楚了。(matlab example. This description has been very clear.)

texture analysis using ANN

本书主要讲解了MATLAB语言常用算法程序集清晰版，对于初学者用处很大(This book explains the MATLAB language commonly used algorithm for assembly clear version, has proved very useful for beginners)

METODO DE USO PARA O SPRAY POSITIV 20 PORTUGUES

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)