关于遗传算法编成的一本书，有遗传算法基础的人看。较权威的一本书...

神经网络中学习矢量量化模型算法的源程序，属于有导师学习！-Neural network model of learning vector quantization algorithm source code, which has instructors to learn!

用遗传算法实现任务分配优化的源程序。-genetic algorithm optimization task allocation of the source.

神经网络基本算法源程序，包含四个基本算法：BF,ART I,RBF,自组织算法，有详细的帮助文件。-basic neural network algorithm source, contains four basic arithmetic : BF, ART I, RBF, self-organizing algorithm, a detailed help files.

自动发贴机器人，可用于多个论坛的哦。能够突破房SPAM系统 。-Automatically post robot can be used in a number of forums Oh. Able to break through the Housing SPAM system.

关于 模式识别 中 C均值 和ISODATA 算法的C++实现 程序以一个二维的数据为例 真实的展现出两类算法的效果-implement C_Means and ISODATA algorith. Taking 2-D data foe example, show the effect of the two algoriths.

这是一个支持向量机的工具，可以实现分类功能-This is a support vector machine tools, can achieve a functional classification

道路识别 人工智能方面的道路识别应用-road artificial intelligence to identify the road recognition applications

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

神经网络拟合，试用，本人用于药品浓度拟合之用-neural network fitting trial, I used drugs used concentration Fitting

遗传免疫是算法的程序 大家可以看看 遗传免疫算法 我也是刚开始学 传上去大家共同学习-Genetic immunization is a method of procedure we will look at the genetic immune algorithm I am also just beginning to learn Chuan-up of common learning