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gas turbine model matlab code

支持向量机，用于分类，含训练集与测试集，用SVM进行多分类(Support Vector Machine (SVM), used for classification, including training set and test set, and multi-support vector machine (SVM))

ARA – The Ant-Colony Based Routing Algorithm for MANETs

code example demonstrating Wildcard searching techniques

这是一些关于人脸识别的MATLAB程序，主要对人脸清晰度的处理，可以使图形信息更加的清晰，希望对大家有好的方面(This is some of the MATLAB program on the face recognition, mainly on the treatment of facial definition, can make information more clear graphics, I hope all of you there are good aspects of)

电力系统中导纳矩阵的形成,用于计算潮流,比较重要(power system admittance matrix formation used in the calculation of the trend, the more significant)

遗传算法（Genetic Algorithm，GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。(Genetic Algorithm is an adaptive global by nature, genetic and biological survival of the fittest evolutionary process simulation and abstract, and thus the formation of stochastic optimization search method. Just provide genetic algorithm optimization objective function as an information, which is generated from a random initial population of departure, after genetic manipulation, such as selection, crossover and mutation of individuals fitness evaluation, retained a strong individual genetic fitness to child on behalf of the population, after several iterations of computing the optimal solution to get the optimal individual, that is the problem. This program uses a genetic algorithm to solve the optimal operation of the micro-network.)

thin the pattern of a graph, the input is a 01 matrix, very funny

matlab pso算法标准源代码，适用于初学群体(matlab pso Standard algorithm source code)

采用两种不同的数学方法进行处理。推导出两对角线方程和块状两对角线方程,提出了两种相应的数值计算方法。本文的方法具有对初值要求不高和收敛迅速的特点(The model equations of the multicomponent multistage adiabatic flash process are handled by two different mathematical methods in the forms of di-diagonal matrix equation and block di-diagonal matrix equation, and the two new algorithms are developed. The numerical calculation shows that the new algorithms process has the features of being more rapid to convergency and less sensitive to the initial values)