遗传算法，是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法.遗传算法是一类可用于复杂系统优化的具有鲁棒性的搜...

我们解决八数码问题,广度优先搜索可能会导致内存不够用,采用启发式搜索,启发函数为f(x)=g(x)+h(x) g(x)为该结点不同于目标结点的个数,h(x)为该结点的深度,选择那f(x)结点最小的那个结点进行扩展, 引入了一个"扩展数组[4]"(因为扩展的结点最多只有4个),该数组保存着某个结点的0点向各个方向的扩展的结点对象,然后对该扩展数组进行分析,利用启发函数在进行递归扩展... -us solve eight digital, BFS may lead to insufficient memory, using heuristic search, heuristic function f (x) = g (x) h (x) g (x) for the target node is different from the number of nodes, h (x) for the nodes of depth, the choice between f (x) nodes that the smallest node expansion. the introduction of an "expanded array [4]" (because the expansion of the nodes at most four), The array maintains a node of 0:00 a.m. to expand in all directions in the target node, and then expanded array analysis, use heuristic function during recursive expansion ...

通过人工神经网络实现异或问题的解决，用visual c++开发-through artificial neural network or differences in the solution of problems with the development of visual c

svm Main_SVR_Epsilon 用于svm回归的 在matlab中运用 -svm regression svm Main_SVR_Epsilon for use in matlab

用java编写的bp网络和rbf网络的源程序 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages can be. java applet demo version of a more simple to just any machine on the View All can be run without having to install any additional software major. Lovers more convenient remote access through the internet resources.

隐马尔科夫模型工具箱使用样本文件，可以广泛应用于识别等领域-HMM Toolbox using sample documents can be widely applied in areas such as identification

ADALINE(神经网络 vc＋＋编写的)-ADALINE (neural networks, prepared by vc )

遗传算法的通用程序，可以根据需要改编以适应不同的应用-Generic genetic algorithm procedure can be adapted to the needs of different applications

支持向量机Windows Svm-Support Vector Machines of Windows Svm

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

c++语言实现基于遗传算法的TSP问题，是学习遗传编程的很好的例子-c++ language implementation of the TSP problem based on genetic algorithms, genetic programming to learn a good example of