神经网络已经得到广泛应用，这里是一个模糊神经网络的matlab程序...

flex在线股票系统源代码，是非常实用的一款程序-flex-line stock system source code, is a very useful program

ART2自组织神经网络vc++源程序，调试通过，可以使用。-ART2 self-organizing neural network vc++ Source code, debugging through, you can use.

一种智能语言，适合用来做专家系统 an artificial intelligence language named clips, it is useful in ES engineer-An intelligent language, suitable for expert system used an artificial intelligence language named clips, it is useful in ES engineer

基于遗传算法的多移动机器人协调路径规划，这是国内的专家篆写的文章。我觉得写得不错，推荐给大家看看。-based on genetic algorithms more mobile robot path planning coordination, which is the domestic experts Fragrance write articles. I think well-written and recommend it to see.

遗传算法，通过选择、交叉、变异求取函数最优解c程序简单实现，并拥有最优保存思想。-Genetic algorithm, selection, crossover and mutation to strike a function of the optimal solution c procedures are simple to achieve, and has saved the best idea.

goat遗传算法工具包，可参考使用，节省遗传算法开发时间-goat genetic algorithm tool kit, refer to the use of genetic algorithms to save development time

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

是各种常用算法的集合，又递归、神经网络、遗传、枚举、排序、圆周率求解等等。是学习的好材料。-Is a collection of various commonly used algorithms and recursive, neural networks, genetic, enumeration, sorting, solving, etc. pi. Is a good learning materials.

MATLAB编写的BP神经网络程序，好用。-MATLAB prepared by BP neural network procedures, easy to use.

用C语言实现的BP网络的程序,严格按照BP的算法流程,开发环境为WIN-TC-C language of BP procedures in strict accordance with the BP algorithm. Development Environment for the WIN-TC