支持向量机Windows Svm

网上一直没有Harris算法的VC程序 无奈 自己写一个吧 用了两个小时就写好了 非常简陋 大家凑合着看 2005年11月15日-Harris algorithm VC procedures helpless himself wrote it with a two hour written a very simple you can make do with a November 15, 2005

Adaptive Resonance Theory (ART) Neural Network

随机规划解决随机优化问题，主要用到遗传算法，神经元网络。-stochastic programming problem solving stochastic optimization, use genetic algorithms, neural network.

在vc控制台中运行，用遗传算法求解最短路径，用邻接矩阵表示路线图。-in vc console operations, Genetic Algorithm for the shortest path, adjacency matrices road map.

自适应共振理论（ART）-Adaptive Resonance Theory (ART)

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

一个基本遗传算法的C++语言实现，有三个文件构成。-A basic genetic algorithm C++ Language, there are three files.

在各种数据源的分析中，收集数据非常重要，本算法提供了一种理论上可以保证性能的聚类算法并提供的相关证明。-Now kneel bowl beat Gou Tai Xu Pleiades cavity中， receive Moreton basin quasi-grind are linked to reset lynx ，算Yang Gou feed leftover braise instance, you can upset Article Sinopodisma殿cavity Abduction Chu Chun Kui Yang算sweet feed cavity gaze intently Shouson殿Longde 。

本例是本人写的遗传算法的最简单的一个实现，并且带有一个说明文档。用C语言编写，在TurborC中调试，由于当时在随机数产生上没有种种子，所以极易收敛，有兴趣可以种上种子试一下。-the cases I wrote is the most genetic algorithm to achieve a simple, and with a documented. C language, in which TurborC debugging, because the random number generator not all sons, so vulnerable convergence are interested can plant seeds try.