该文档是清华大学的模式识别教程，该版本是网页版本，浏览非常方便，内容也非常详细，非常适合初学者，个人举得特别是支持向量机那一章描述很棒！...

行人模拟，开源的程序，对行人模拟的可以联系我，mjliao@163.com-pedestrian simulation, revenue procedures, simulated pedestrians can contact me, mjliao@163.com

为遗传算法提供基类，该基类将评价函数值直接作为适合度，采用新个体直接替换老个体的整体再生法 -genetic algorithm to provide the base class, the base class will be evaluated as a direct function of fitness, Individual direct new replacing the old individual"s overall regeneration

遗传算法做图像的模式匹配，绝对经典，有源码看，有执行文件可以执行，下面有个执行环境的文件请先安装。-Genetic algorithm to do pattern matching images, absolute classics, and have look source, has the implementation of a document can be implemented, has the following months the implementation of environmental documents, please install.

模式识别的基础－－相似度量的介绍，对大家可能有帮助-based pattern recognition-- similar to the measure, we might have to help

MYCIN不确定推理机的C++骨架程序，运行高效率。-MYCIN uncertainty reasoning machine C++ skeleton program, run efficient.

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation

遗传算法，包含选择，交叉，变异等操作，可求出Y=sin(x)在0-2π的最大值和最小值-Genetic algorithm, including selection, crossover and mutation operation, etc., can be obtained Y = sin (x) at the 0-2π Maximum and minimum

贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion

传教士和野人渡河问题盲目搜索算法 一个典型的人工智能算法-missionaries and Savage cross river blind search algorithm of a typical artificial intelligence algorithms

神经网络训练程序，用来进行RBF网络的权值训练，利用训练好的权值可以进行自适应滤波！-neural network training procedures used for RBF network weights training. good use of training weights can be adaptive filtering!