实现马尔可夫决策过程模型的算法，该研究方向是当前热门的研究领域。...

有指导的马尔可夫随机场（MRF）的图像分割代码，是有指导的方式（即用鼠标框出分类样本区域）。采用OpenCV编写。-Has guided Markov Random Field (MRF) image segmentation code, is guiding the way (that is, a classification of the box with the mouse sample region). Prepared using OpenCV.

bp神经网络,反向传播神经网络！感觉还不错的-bp neural networks, back-propagation neural network! Feeling pretty good

机器学习讲义机器学习很好的材料内容很全面-Machine Learning Machine Learning Materials Materials is very good all-round

清华仿真机器人2002年源码.rar。可以从下面这个网址找到更详细的内容。 http://www.lits.tsinghua.edu.cn/robocup-Qinghua robot simulation source code in 2002. Rar. From below the site to find more details. Http://www.lits.tsinghua.edu.cn/robocup

专业介绍svm算法的书籍，适合有高等数学，线性代数，矩阵论，和数里统计基础的读者，他是一本全面介绍svm的书籍，从数学基础到应用，是svm学习者的一本好书。-Introduction SVM algorithm professional books, suitable for advanced mathematics, linear algebra,矩阵论, and several readers in the statistical basis, he is a comprehensive introduction to SVM books, from mathematical foundations to applications, is an SVM learner Good Books.

Schapire 所著的Boosting算法的教程。 对目前物体识别和机器学习领域中广泛应用的Boosting算法展开了深入浅出的描述，还有很多Toy Examples。-Tutorial for Boosting algorithm by Schapire

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules

这是我写毕业论文的源程序,用模拟退火算法求解VRPTW问题.在我机子上运行过了,结果很好.-This is the thesis I wrote the source code, using simulated annealing algorithm to solve VRPTW problems. In my machine run-off, resulting in very good.

一个简单遗传算法，用一个测试问题测试,到到得结果比较好-This is a simple genetic algorithm and the algorithm is tested by a test problem, and the result is not bad