模式识别分类 内有聚类算法.分段线性算法

c++实现基于神经网络的空间大战，可以学习到如何利用神经网络进行游戏编程。-c++ implementation of space war based on neural networks can learn how to play games using neural network programming.

神经网络模式识别及其实现，第九章。 内含：HOPFIELD和LAM -pattern recognition and neural network to achieve, chap. Intron : LAM and HOPFILED

libview的libsvm程序，它的应用比较方便。-libview the libsvm procedure, its application more convenient.

利用人工智能原理中BP神经网络算法，建立的彩票预测程序，当然不可能都预测中，但是要学习神经网络的人值得一看-BP neural network algorithm, the establishment of the lottery forecasting process, of course, not all forecasts, but neural networks to study the eye-catcher

kmeans算法,许多同学做毕设需要用到-kmeans algorithm, many students needed to do to complete set up

遗传基因算法源代码(资料)，C++源代码，是研究遗传算法的入门程序。-genetic algorithm source code (information), C source code, is to study the genetic algorithm entry procedures.

c++编译的目标规划遗传算法，编写了较为详细的原程序，被广泛使用。-the genetic programming algorithm, to prepare a more detailed program, has been widely used.

松弛算法 批处理裕量松弛算法 样本数据和松弛值自定义-Relaxation Algorithm margin Relaxation Algorithm batch sample data value and relaxation since the definition of

这是一个模式识别中的最近邻分类算法的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition algorithm for nearest neighbor classification simulation of a simple classification example, is one of female.txt and male.txt training samples, test.txt is the measurement, classification effect is very good for beginners will be learning model there is a great help.

　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