DATA-MINING-WEB-LOG

刘金琨著　《滑模变结构控制ＭＡＴＬＡＢ仿真》源代码(Jinkun "SMVSC control MATLAB" source code)

MMAdapGA:用多变异位自适应遗传优化求解一维无约束优化问题 (MMAdapGA: with changeable ectopic adaptive genetic optimization solution of one-dimensional unconstrained optimization problems)

周立功公司提供的《51单片机新技术》 (Ligong weeks provided by the company )

matlab结构优化设计程序,对结构设计十分有用。(the program of the matlab,it is very helpfull.)

说明：  图像处理的分割，很经典的MATLAB 算法，适合做CV分割的初学者(cv )

一种简单的基于matlab的印刷体数字识别(Numeral recognition based on matlab)

采用四参数生成法自动生成多孔介质(二维)，优化了出现独立单个节点、实体内部出现孔洞的问题(Four-parameter generation method automatically generates a porous medium, optimize the emergence of an independent single node, hole problems arise internal entities(2D))

Induction machine Control FOC

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

Matlab programing for beginners suitable