Eigenface和Fisherface表现在姿势

pso优化算法的vc++源程序。在vc.net2003下面通过。 建议：看代码之前，请先弄明白pso是怎么回事。然后请对应着来：程序中用Agent代表一只鸟，PSO代表鸟群。阅读源代码，不要顺着看，先看main(),然后按照出现的东西的顺序，一个一个得来。-PSO optimization algorithm vc++ source. In the following vc.net2003 through. Recommendations: look the code before you find out how the PSO story. Then corresponds to: Program with Agent on behalf of a bird, PSO representative of birds. Read the source code, do not look down, look at the main (), then follow the order of things emerging, one by one come.

matlab所有的工具箱，包括统计工具箱、拟合工具箱、微分方程工具箱、遗传算法工具箱、模拟退火工具箱、优化工具箱。随机数工具箱、等等。很全面-All matlab toolbox, including statistical toolbox, fitting toolbox, toolbox differential equations, genetic algorithm toolbox, simulated annealing Toolbox, Optimization Toolbox. Random number toolbox, and so on. Very comprehensive

SVDD的工具箱，可以很好的处理一类分类问题，详见Support Vector Data Description一文-SVDD tools，can be used to process one class classification problem,for more details ,we refer to "Support Vector Data Description"

一个人工神经网络BP算法源代码与演示程序-an artificial neural network algorithm source code and demonstration program

　基于VB的遗传算法软件实现 在程序中,FitnessValue (i) 为适应度值数组、avFit2nessValue (100) 为归一化适应度值数组、Population2 Chrom(i ,j) 为遗传个体的等位基因值、Popsize 为种群中的个体数,CHROMLENGTH为一母体对的等位基因 总数。-VB-based genetic algorithm software implementation in the proceedings, FitnessValue (i) In order to meet an array value, avFit2nessValue (100) for the normalized fitness value of the array, Population2 Chrom (i, j) for the genetic value of individual alleles, Popsize for stocks in the number of individuals, CHROMLENGTH for one parent to the total number of alleles.

本代码用蚁群算法求解带时间窗的车辆路径问题-The code with ant colony algorithm with time window of vehicle routing problem

matlab神经网络应用设计-Matlab neural network application design

神经网络仿真的基本程序- Nerve network simulation main routine

遗传算法与工程设计-Genetic Algorithms and Engineering Design

本算法为自适应遗传算法，采用基于排序的选择策略，编码方案为实数编码。能够解决很多优化问题！-The algorithm for the adaptive genetic algorithm, based on the sort of choice strategy, coding schemes for real-coded. Many optimization problems can be solved!