遗传算法的一些经典程序收集

遗传算法学习资料-GA learning materials

这是一本粗糙集数据挖掘的书，其中同时介绍了其他几种数据挖掘方法，并进行了相关对比-This is a rough set data mining of the book, which also introduced several other data mining methods, and conduct the relevant comparison

用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition

该程序比较人性化，有个友好界面，能加载图像，并根据图像训练Hopfield神经网络，你也可以通过添加噪声给图像，以判断它的识别率。-Comparison of the program user-friendly, has a friendly interface that can load images, and in accordance with the training images Hopfield neural network, you can also add noise to images, to determine its recognition rate.

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.

神经网络与免疫算法的结合，用matlab编程实现小功能-Neural network with a combination of immune algorithm with a small functional programming matlab

遗传算法,网络故障的源代码!值得学习!欢迎下载!-genetic algorithms, network fault of the source code! Worth learning! Welcome to download!

关联规则中的频繁项集生成算法fomax*，一个非常优秀的算法，由中国人（朱建飞）的参与。-association rules of frequent item sets Algorithm trillion*, a very good algorithm, China (Zhu Jianfei) participation.

HMM的C语言实现.很有用的模式识别程序-HMM of the C language. Very useful pattern recognition procedures

神经网络的开发包，采用c++编写的，使网络资源，大家共享-neural network development kits, prepared by the use of c, network resources and share