schematic diagram of dot matrix

与神经网络有相似的根源。但近年来在分类中得到了广泛的应用。这意味着，如果我对一些事物进行了分类（但你对我如何分类一无所知，或者说你不知道用于分类的规则），当一个新数据出现时，SVM可以预测它应该属于哪个集合。

关于求最值的delphi遗传算法源码，绝对可以用，调试通过，界面美观，由王小平书上的c代码改编所成，创建了一个ga类，向构造函数输入合适的参数就可以运算！-seek the most value on the delphi genetic algorithm source code can definitely use, debug, beautiful interface, Wang Xiaoping book adaptation of the c code by 10%, creating a ga category Constructors input to the appropriate Operational parameters can!

非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners

神经网络与matlab实现,内含大量的实例,希望能对你有所帮助.-neural network and Matlab realized, with a lot of examples and I hope that you can help.

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.

林智仁编写的著名的SVM代码(libsvm-2[1]-林智仁prepared by well-known SVM code (libsvm-2 [1]

8王后问题的演示程序,算法封装在类GAQueen，演示程序是界面程序-8 queen problem demo program, the algorithm is packaged in a category GAQueen, demo program is the interface procedures

加了动量项和域值，比较好用的bp网络算法-added value items and Victoria, better quality bp Network

蚂蚁算法的VC代码源，模拟蚂蚁觅食的行走途径，解决最优路径问题。-Ant Algorithm VC source code to simulate the foraging ants to walk way to solve the optimal routing problem.

遗传算法VC编程，对于初学者可能有用，多多支持~-VC programming genetic algorithms, may be useful for beginners, the generous support of ~