分类器的设计，包括knn方法和BP的方法。对一系列样本点进行分类

人工智能编程示例-artificial intelligence programming paradigm

清华大学人工智能讲义-Tsinghua University, notes in artificial intelligence

基本的BP神经网络框架，比较适用于初学者快速掌握神经网络的构成。-basic framework BP neural network, suitable for beginners to grasp the composition of neural networks.

TSP算法，应用局部搜索法得到最优路径，已经经过优化。没有密码，可以使用，vc环境下使用。-TSP algorithm, using local search to be optimal path has been optimized. No password can be used, vc environments.

基于信息熵的免疫算法是一种修正的免疫算法，方法并不复杂，对于特定问题效果较好-Entropy-based immune algorithm is a modified immune algorithm, methods are not complicated, for the specific problem better

极小化误差平方和算法聚类源代码，下载后直接运行就可以了-Minimizing the error sum of squares clustering algorithm source code can be run directly after downloading the

这是一本进化算法的电子书，很适合人工智能方面的人学习-This is an evolutionary algorithm e-book, it is suitable for artificial intelligence to learn

Java编写的分形程序，利用随机分形画出的蕨类植物的叶子图。另：有C源程序 -Java fractal program written using random fractal ferns painted leaves Fig. Another: There are C source code

神经网络中的竞争网络聚类-neural network competition in the network clustering

这是一个神经网络的开发工具-This is a neural network development tools