遗传算法(图像处理)

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

一个BAM神经网络的基本程序，通过这个程序可以使大家对BAM有一个详细具体的了解。-A BAM neural network basic procedures, the adoption of this procedure allows us to BAM has a detailed understanding.

十折交叉验证方法的matlab code 再模式识别中是一个非常重要的试验方法-a very important technique crossvalidate in pattern recognazition

这个程序是A*算法的简单实现，来解决八数码问题-It just simply applys the A* algorithm to solve the Eghit-puzzle problem

遗传算法求解TSP问题-genetic algorithm for TSP

遗传算法求解车辆路径问题，没有解压缩的密码。-Genetic Algorithm for vehicle routing problem, no extract passwords.

svm_c 分类源码 用于svm的分类编程同svm_nu 相近-svm classification svm_c source for the classification of programming with similar svm_nu

统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比 如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法： 支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.

本程序是使用APRIORI算法搜索相关联的项目，在搜索前需要用户先对项目的个数和最低支持度进行设置，然后程序就会在指定的项目是找出满足最低支持度的相关联的频繁项目集-This procedure is to use search algorithms APRIORI associated projects, the needs of users in the search before the first number of the project and set the minimum degree of support, and then the procedure will be in the designated project is to identify a minimum degree of support to meet the frequently associated itemsets

用Java编的人工智能的归结反演算法-Java series attributed to the anti-artificial intelligence algorithms