它只是将A*算法解决eghit

两个人工智能小程序，解决八数码问题，使用A*算法-two small programs to solve eight digital, the use of A* algorithm

运用神经网络的方法先将数据分类分析,然后再将未知类归类-The use of neural network analysis of data classification methods first, and then classify the unknown category

该算法为模糊自适应整定的PID控制算法，该算法在matlab环境下开发，可以直接运行 -The algorithm for fuzzy adaptive tuning of the PID control algorithm in the matlab environment development, can be directly run

本人做的遗传算法源代码，在FORTRAN下打开即可以，可在WINDOUS环境下运行-I do genetic algorithm source code, under the FORTRAN that can be opened, in WINDOUS operating environment

编程的 BP算法并行,很好,值得下载,详细的介绍了BP算法-Of the BP algorithm for parallel programming, well worth downloading and detailed description of the BP algorithm for

目前最好的A*寻路算法-Currently the best A* pathfinding algorithm. . . . . . . . .

基本蚂蚁算法及其改进算法求解NP问题的论文汇总，而且全是中文，对于初学者一定有帮助-The basic ant algorithm and its improved algorithm for solving NP problems summary papers, and they are all Chinese, will certainly be helpful for beginners

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

VC++ 遗传算法 VC++ 遗传算法 VC++ 遗传算法-VC++ Genetic Algorithm

讲述关联规则在零售业中的作用,相应的算法和实例实现-on association rules in the retail sector"s role, the corresponding algorithm to achieve and examples, etc.