matlab的典型算法（包括神经网络、遗传算法、概率算法、模拟退火算法）...

神经网络模式识别及其实现，第三章。为大家提供参考。-pattern recognition and neural network to achieve, the third chapter. To provide a reference.

利用遗传算法求最小值，程序中求得是表达式x1*x1+x2*x2+x3*x3再-2~2上的最小值，以及对应的x值，算法中使用二进制编码，交叉采用不同交叉和优势交叉，变异也分两种，不用变异和优势变异-using genetic algorithms for the minimum, procedures to seek expressions x1 x1 x2*** x2 x3 x3 another 2 ~ 2 on the minimum, and the corresponding value of x, algorithm using binary encoding, using different cross-cross and advantages of crossover and mutation at the two without variation and variation advantage

本程序模拟细胞的自我繁殖，你会看到一个柔软的细胞诞生在电脑屏幕上，然后随着各个分子的撞击，细胞开始分裂，经过一段时间的演化，这个细胞会在溶液中把自己复制，然后这个过程会继续进行……。这种自我复制是在人工化学的基础上进行，比起原来的基于细胞自动机的自我复制更加形象逼真-the cell simulation of self-reproduction, you will see a soft cell birth on the computer screen, and then with all the percussive elements, cell division, after a period of evolution, the cells in the solution themselves copied, and then the process will continue ... . This self-reproduction of the artificial chemical basis, compared to the original cell-based automatic machine self-replication more vivid

很好的遗传算法库，并且有详细的说明文档，Visual 2003环境下编写-A good genetic algorithm library, and a detailed description of documents, Visual 2003 environment to prepare

c++的程序 有关神经网络的,请站长加我,-c procedures of the neural network, for my head, thank you

一个人工神经网络BP算法源代码与演示程序-an artificial neural network algorithm source code and demonstration program

支撑向量机算法的一种改进算法，是基于增量学习的算法-Support Vector Machine Algorithm an improved algorithm is based on the incremental learning algorithm

NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary

　基于VB的遗传算法软件实现 在程序中,FitnessValue (i) 为适应度值数组、avFit2nessValue (100) 为归一化适应度值数组、Population2 Chrom(i ,j) 为遗传个体的等位基因值、Popsize 为种群中的个体数,CHROMLENGTH为一母体对的等位基因 总数。-VB-based genetic algorithm software implementation in the proceedings, FitnessValue (i) In order to meet an array value, avFit2nessValue (100) for the normalized fitness value of the array, Population2 Chrom (i, j) for the genetic value of individual alleles, Popsize for stocks in the number of individuals, CHROMLENGTH for one parent to the total number of alleles.

程序代码说明 神经网络的实例,内附详细说明-Code description examples of neural network, containing a detailed description of