DcBUCK1

matlab 高阶谱估计库，经调试，适合各种高阶谱估计问题的调用，保证能用(Matlab higher order spectrum library, after debugging, suitable for all kinds of high order spectral estimation problem of call, can be used to ensure)

The Silmarillion of J.R.R Tolkien, The authur of The Lord of rings . PDF version

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

基本的粒子群优化算法代码 开发环境matlab7.0(The basic particle swarm optimization algorithm code development environment matlab7.0)

MATLAB100个编程实例 易读MATLAB100个编程实例 易读MATLAB100个编程实例 易读(very good very goodvery good)

用Adaboost+PCA进行特定的目标识别(Specific target recognition by adaboost&PCA)

量子遗传算法最大熵法图像多阈值分割程序下载。阈值的个数直接指定即可。(image segmentation based on quantum-inspired genetic algorithm)

一个打开cdf格式文件的程序，很好用！一个打开cdf格式文件的程序，很好用！比nasa的好一点。(cdf read m files)

将贪婪修复方法与遗传算法相结合，构成混和遗传算法，并求解经典背包问题。(The greedy repair method and genetic algorithm are combined to form hybrid genetic algorithm, and solve the classical knapsack problem.)

核磁共振方法是一项尖端技术，在物理学和医学等领域有着较普遍的应用。 其无损性和高分辨率的特点是这项技术最大的优势。而利用核磁共振方法来找水 是其在地学中应用的一个新领域，为地球物理方法提供了新的思路。(NMR is a cutting-edge technology, medicine and other fields in physics and has more general application. The high-resolution non-destructive and are characterized by the biggest advantage of this technology. The use of NMR to come to learn that water is applied in a new area for geophysical methods to provide a new way of thinking.)