RBF程序，可实现函数拟合，本人已经亲自调试过，效果不错。...

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

遗传算法原程序，并行算法，原代码，随机搜索算法-GA original program, parallel algorithm, the original code, random search algorithm

人工智能实验 -experimental AI Artificial Intelligence Experiment

利用 免疫算法求解TSP问题 可以精确求出50个城市-Using immune algorithm for solving TSP problems can be accurately calculated 50 cities

BP神经网络VC类，此类对BP神经网络进行了封装，整个类是基于动态构建，可以适合于任何采用BP神经网络的模式识别应用。-BP neural network VC categories, such BP neural network to a package, the whole category is based on dynamic construction, and is suitable for use in any BP neural network applications of pattern recognition.

高手学习人工智能心得体会。想学习人工智能的可以来-master learning artificial intelligence experiences. Want to study artificial intelligence can s

遗传算法 多目标的优化 是用GAOTV包做的-GA multi-objective optimization is done with the package GAOTV

这是一个很好的关于BP神经网络的程序,用于两类数据的分类.-This is a very good network of BP procedures for the two types of data classification.

模式识别中的CYK算法-pattern recognition algorithm for the CYK

基于神经网络的辨识工具箱 (527KB)-Neural Network Based Identification Toolbox (527KB)