Libsvm

BP算法的运算矩阵，很有用。-BP algorithm computing matrix, very useful.

这是一个二值hopfield神经网络源程序，有一个实例，训练数据保存在h7x8n4.trn,输出数据保存在ARCHIVE.LST中。-This is a value hopfield two neural network source, an example of training data stored in h7x8n4.trn, output data stored in ARCHIVE.LST China.

BP网络解决异或问题的实例，有初始值和最终结果的显示。本网络结构为三层BP网络，各层神经元个数可变，更改相关#define即可。（注释较详细，主函数中调用的函数和矩阵类都定义在文件function.h中）-BP network to solve XOR problem instance, there are initial values and final results are displayed. The BP network structure for the three-tier network of neurons in the number of floors variable, change the relevant# Define you. (Note more detailed, the main function calls the function and matrices are defined in the document in function.h)

如何在VB下实现BP神经网络的拓扑优化算法

Apriori算法的JAVA实现A priori算法的JAVA实现-Apriori algorithm JAVA realize A priori algorithm realize JAVA

对文件实现用DES加密算法-right documentation can be achieved using DES encryption algorithm

　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

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。

人工智能小模型，货郎担问题，一个简单的 实例-Artificial intelligence model:a simple instance of goods selling burden problem.

用模拟退火算法求解TSP问题-simulated annealing algorithm for TSP