A*算法是，最经典的寻路算法，广泛用于游戏人工智能领域。

经典的SOM人工神经网络例子源码，经测试可用，可作入门学习用-SOM classic examples of artificial neural network source code

小波神经网络，两者相互结合，程序简洁易懂！-Wavelet neural network, the two interact and procedures easier to understand!

一个运用改良的遗传算法来解决旅行商问题的程序-an improved use of genetic algorithms to solve the traveling salesman problem procedures

使用Astar算法实现的八数码问题。C++编写，控制台应用程序，实现简单，代码轻便。-Astar algorithm using eight digital issues. C++ written in the console application, to achieve simple and lightweight code.

最大概率分词法,这种分词算法能够较好的解决汉语分词中的歧义问题,但分词效率比最大匹配分词算法要低-greatest probability points accidence, Segmentation algorithm can be used to solve the Chinese word segmentation of Ambiguity, but Word efficient than the largest matching segmentation algorithm lower

4。《演化程序――遗传算法和数据编码的结合》，[英]米凯利维兹着 科学出版社 2000年第一版 本书分三个部分共16章分别介绍了:1.遗传算法的概念、数学原理及方法步骤 2.遗传算法和数据编码联系起来所构成的演化程序 3.演化程序面向一些实际问题的应用。 本书语言生动，结构合理，较少使用专业性术语和深涩词汇，适合面临优化问题的研究生、程序员、设计师、工程师及科研工作人员参考。-4. "Evolutionary process-- genetic coding algorithm and data integration," [E] Mikhail Liweici a 520-531 2000 version of the first book in three parts a total of 16 chapters were introduced : 1. Genetic Algorithm concept mathematical principles and methods of Step 2. genetic algorithms and data coding linked posed by the evolution of procedures 3. Evolution-oriented procedures some of the practical problems of application. The book vivid language, reasonable structure, and less use of professional terminology and vocabulary deep acerbic suitable for optimization problems facing graduate students, programmers, designers, engineers and research personnel.

蚁群算法 关于城市旅行商问题 ，有兴趣的可以参考下，也课参与交流-Ant colony algorithm on the city traveling salesman problem, interested can refer to, it is also involved in the exchange of lessons

bp神经网络的详细资料,里面有相应的文挡资料和可执行程序!-bp neural network details, there are corresponding text block of information and executable programs!

遗传算法的经典程序，初学者一定要-GA classic procedures, beginners must look good

蚁群算法的演示程序，很形象的说明的蚁群群体合作的智能性，很好的诠释了蚁群算法的精髓-Ant colony algorithm demo program, it is the image of the ant colony that cooperation between the intelligence groups, very good interpretation of the essence of the ant colony algorithm