采用动量梯度下降算法训练 BP 网络。

这是一个HOPFIELD神经网络程序，里面有MAKEFILE，方便读者运行-HOPFILED This is a neural network program, which has MAKEFILE easy operation

一个用C编写的实现BP神经网络的源程序，希望大家用得上-C prepared by a BP neural network to achieve the source, I hope everyone useful

八数码问题全局择优算法-eight digital algorithm selection of the best overall problem

C++实现神经网路的bp算法，初学者可以参考下 BP algorithm of neural network s achievement based on c++, maybe it is useful to a new learner-C++ Realization of bp neural network algorithm, beginners can refer to under the BP algorithm of neural network s achievement based on c++, Maybe it is useful to a new learner

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

人工智能神经网络识别 人工智能神经网络识别-Artificial neural network artificial neural network to identify

这个程序主要提高了神经网络，遗传算法，聚类等多种人工智能算法，采样c++编程，，很精简-This process mainly to improve the neural networks, genetic algorithms, clustering and many other artificial intelligence algorithms, sampling c++ Programmed, it is streamlined

模式识别中c―均值算法，调试已通过，开发工具用的是VC＋＋6.0-Pattern Recognition in the c-means algorithm, debugging has passed, development tools using a VC 6.0

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]

神经网络的算法，关于BP网络的编写-neural network algorithm, on the preparation of BP Network