有关TSP遗传算法的的三个pdf论文。不错的参考

支持向量机学习源码程序支持向 量机学习源码程序支持向 量机学习源码程序-Support vector machine learning support vector machine learning source program source program source program support vector machine learning support vector machine learning support vector machine learning source program source program

用粒子群优化算法计算给定图像的平滑度。

matlab神经网络应用设计，里面随有详细代码-Matlab neural network application design, which with a detailed code

人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。-artificial stock market (Artificial Stock Market, or ASM) is a stock market simulation operation of the procedure. In this computer in the virtual market, a number of traders known as artificial intelligence (Agent) by observing them where the digital world and the stock dividend and the constantly changing projections, and based on these projections made whether or not to purchase stocks and the purchase of shares in decision-making. Conversely, all the decision-making transactions in turn determines the share price, so that the entire stock market would constitute a self-enclosed computer system. Moreover, these transactions are capable of learning, can be predicted based on previous success or failure of their decisions for the

基于SVM，分本分类，，是关于两类分类的比较好的工具，国外网站提供，效果很好的-based SVM, the sub-classification is on the classification of the two types of relatively good tool, overseas sites provide good results, the

本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函数的转换，该zip包括两个文件，一个是GramSchmidt正交分解，是个子函数，主函数是orth_GramSchmidt，放在同一目录下，就可运行，可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions

遗传算法源程序，供研究设计使用，希望对你有帮助-Genetic algorithm source code for the study design to use, want to help you

神经网络的相关应用项目-neural network-related application projects

greedy em 混和模型训练算法-greedy em hybrid model training algorithm

模拟退火算法实现，内负有模拟退火的聚类，TSP等等6种问题的实现例子，在EXAMPLE文件夹内-Simulated annealing algorithm, which has a simulated annealing clustering, TSP, etc. 6 kinds of issues realize examples folder in EXAMPLE