一个很好的利用自适应人工神经网络模型库，包括广告，..

用蚁群算法求解TSP（旅行商）问题，按照TSP.m中要求的格式输入程序参数即可运行！-Using Ant Colony Algorithm for TSP (traveling salesman) problems, in accordance with the format requested TSP.m input process parameters to run!

人脸检测定位的示例代码.rar VC++源码，具有一定参考价值,我也是从别处下载下来的。-Face Detection positioning the sample code. Rar VC source, which have a certain value, I also downloaded from the elsewhere.

一个反向传播算法的的原程序！值得一看，大家自己看看！-a back-propagation algorithm of the original program! An eye-catcher, we see for himself!

一个简单的遗传算法源代码。。。。。代码保证尽可能少，实际上也不必查错-A simple genetic algorithm source code. . . . . Code to ensure that as little as possible, in fact, do not have error checking

人工智能8数码问题-artificial intelligence problem

基于CPN人工神经网络的例子，供大家交流-CPN-based artificial neural network example, for U.S. exchanges

一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)-A neural network prototype code, for example for

　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

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox

遗传算法的讲义！- Heredity algorithm printed lecture!