这是一个关于遗传算法的程序，包括了算法的各个过程，其实我对遗传算法也不很懂，也是刚刚开始学习阶段，希望一起进步...

随机神经网络工具箱-random neural network toolbox

The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application.

道路识别 人工智能方面的道路识别应用-road artificial intelligence to identify the road recognition applications

机器学习文本分类的SVM算法实现，VC++ 6.0环境下编译-A SVM algorithm for text classification in machine learning, and compiled under the Visual C++ 6.0 environment.

一个hopfield神经网络很好的程序，与大家分享！-Hopfield neural network a very good program to share with you!

平台vs2005 模拟固体退火算法实现144个城市的旅行商问题，可设置具体参数-VS2005 simulation platform to achieve solid annealing algorithm 144 city traveling salesman problem, you can set specific parameters

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.

DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.

利用最大匹配法进行汉语句子的分词 最大匹配算法是最常用的分词算法，简单实用正确率可达到80%以上-the maximum matching method for the Chinese Sentence Word maximum matching algorithm is the most commonly used word segmentation algorithm, simple and practical accuracy rate can reach more than 80%

很好的边缘检测源代码，使用vc++6.0编写，主要用于医学图像的边缘检测-good source edge detection, the use of vc 6.0 preparation, mainly for Medical Image Edge Detection