"artificial neural network" contains practical network model, learning...

Supervised Image Segmentation Using Markov Random Fields

蚂蚁社区的源代码，用C++开发，很直观的演示-ant communities of source code, development using C, a very visual demonstration

西安电子科技大学模式识别原理与应用课件1-Xi" an University of Electronic Science and Technology Pattern Recognition Theory and Application of a courseware

Visual studio 2005,C#开发 具有人工智能，可采用人工下棋、电脑参谋、电脑下棋等模式参加互联网比赛。采用ClickOnce发 -Visual studio 2005, C# Development of artificial intelligence, to be used in artificial playing chess, computer staff, the computer model of chess and other games take part in the Internet. Using ClickOnce fat

基于matlab的hopfield神经网络识别带噪声字母的源代码，很经典！-based on Matlab hopfield neural network recognition of the alphabet with the noise source, classic!

关联规则中的频繁项集生成算法Mafia1.4版本，一个效果非常好的算法，可在linux和windows下编译运行。-association rules of frequent item sets Algorithm Mafia1.4 version, a very good effect algorithm, and the Linux compiler running under windows.

题目：模糊模式识别迭代模型及在优选水电装机中的应用-Topic:The misty mode identifies the generation model and packs the application in the machine in the optimization water electricity

Fisher判别，用于模式识别的Fisher线性判别-Fisher Discriminant for pattern recognition Fisher Linear Discriminant

电压稳定的仿真软件 可以的出最大传输功率 - Voltage regulation simulation software may biggest transmission power

遗传算法 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 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."