麻省，技术开发，自由遗传算法

神经网络仿真工具，本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-Neural network simulation tool, this program is BP algorithm demo program in which the Levenberg-Marquardt algorithm has practical value.

这是书上的常用搜索算法，有8数码游戏，黑白棋，A star算法类的实现。-This is a book commonly used search algorithm, there are 8 digital game, Reversi, A star algorithm category realize.

Framework for Genetic Algorithm

tsp问题，10个城市的最佳路径。。。。。。matlab-tsp problem, the best 10 cities in the path. . . . . . matlab

一个更精度的平滑涵数, 可用于股票交易系统.用于Amibroker 平台-a more accurate smooth average function for amibroker trading system

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

人脸定位实例是模式识别中一个比较复杂的技术 希望能帮到大家-Human Face Localization example is a more complicated pattern recognition technology hope to help everyone

神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods

可以自动生成qbf问题实例,但需要给定一些参数.-can produce QBF instance

bayes network 的分三角形的算法-bayes network breakdown triangle algorithm