Perfect code to learn genetic algorithm

matlab 自适应遗传算法源程序，用到了G-S正交化分解，大家可以用QR分解做一下，应该会使程序更简单一点．-Matlab adaptive genetic algorithm source code, used in the G-S orthogonal decomposition. We can do something QR decomposition, the process would be simpler 1:00.

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact.

感知器神经元解决较复杂输入向量的分类问题-Perceptron neurons to solve more complex input vector classification

神 经 网 络 的 资 料-neural network data

松弛算法 批处理裕量松弛算法 样本数据和松弛值自定义-Relaxation Algorithm margin Relaxation Algorithm batch sample data value and relaxation since the definition of

详细介绍EM算法的好书！！！！PDF格式-EM algorithm detailed book! ! ! ! PDF format

A star 算法类的实现(算法接口，针对迷宫问题设计)-algorithm to achieve the category (algorithm interface design issues against maze)

用于求解TSP问题的matlab源代码，需要读取距离矩阵-Used to solve TSP problem matlab source code, need to read the distance matrix

背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution