使用BP网络进行模式识别,识别0－9的数字

这个是关于遗传算法的比较完整的C语言程序，个人觉得还是比较有参考价值。-on the genetic algorithm is relatively complete C language program, individuals think it is quite a reference value.

一个简单的遗传算法 采用实数编码、比例分配轮盘赌选择、杂交采用离散与算术双重杂交、一般性变异。-A simple genetic algorithm using real-coded, proportional allocation of roulette selection, hybrid discrete and numeracy double hybridization, general variation.

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

模式识别中的K－均值算法演示-pattern recognition, the K-means algorithm demo

用Fast BP实现复杂的函数逼近,对初学者有一定的帮助,是在BP的基础上增加了R.-Fast BP achieved with a complex function approximation, there is some help for beginners, is based on the BP increase in R.

一个利用vc编成的倒传递类神经网络内容包含到数层的神经网络编写 使用者可以清楚了解BP- Contains using the vc forming but actually transmission class nerve network content to several nerve networks compiles the user to be allowed clearly to understand BP

人工免疫算法的源代码,经过调试运行,效果还不错,和大家分享!-Artificial immune algorithm source code, after debugging run, the effect is also good to share with you all!

有穷状态机，利用VC6.0编写蚂蚁找食的模拟程序-Finite state machine, the use of ants looking for food preparation VC6.0 simulation procedures

蚁群算法的C++实现,让读者更清晰的了解蚁群算法的完整思路-Ant colony algorithm C++ Realize, to give readers a clearer picture of the integrity of the idea of ant colony algorithm

一个包含丰富内容的流形学习算法工具包，有图形示例文件demo.fig，包括laplacian特征映射算法、流形规则调整、svm分类算法等内容，希望对研究机器学习的朋友有用。-contains a rich content of the manifold learning algorithm tool kit, graphics documents demo.fig example, laplacian features include mapping algorithm manifold rules adjustments svm classification algorithm, want to study machine learning useful friends.