RBF程序，可实现函数拟合，本人已经亲自调试过，效果不错。...

matlab中运行-matlab run

Fuzzy Rule Base Implementation

这是一个用遗传算法来解决异或问题的小程序。-This is a genetic algorithm to solve the problems or differences of small programs.

这是通过A*算法实现8数码问题，求解可能出现的目标状态。通过回溯的方法实现对A*算法。不同于其它状态图的搜索实现8数码问题。-This is the A* algorithm eight digital issues, the solution may target state. Through the method back to the A* algorithm. Unlike other state diagram of the search to achieve eight digital problem.

遗传算法，生物技术，进化技术，主用用来求函数优化问题-Genetic algorithms, bio-technology, evolution of technology, the main use for the seek function optimization problems

基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。-Java-based genetic algorithm realize the source code, which will help beginners learn how to use GA as well as realize java.

10。《用于最优化的计算智能》，Nirwan Ansali，Edwin Hou着，李军，边肇棋译 清华大学出版社 1999年第一版 本书从讨论组合优化中的基本问题――NP问题入手，系统地讲述了近年来所发展起来的智能最优化的各种技术和方法，其中包括启发式搜索、Hopfield神经网络、模拟退火和随机机、均场退火以及遗传算法等；并在此基础上，通过一些典型的应用问题，如旅行商问题、模式识别中的点模式匹配问题、通信和任务调度等问题进一步阐明以上一些基本方法怎样用来解决这些原来具有NP性质的困难问题。本书是作者在美国新泽西州理工学院多年讲授有关课程的基础上写成的。全书深入浅出，理论联系实际。为帮助学生掌握基本概念，提高学习能动性，各章编写了习题。本书可作为通信、计算机、控制各专业的高年级学生和研究生学习有关课程的教材。它对于广大科研工作者也是一本很有实际价值的参考书。 -10. "Optimal for Computational Intelligence," Nirwan Ansali, with Edwin Hou, Li Jun, Pin Zhaoxing chess translation Tsinghua University Press in 1999 the first book version of combinatorial optimization from the discussion of basic questions-- NP problem start, the system described in recent years to develop the intelligent optimization of the technology and methods, These include heuristic search, Hopfield networks, simulated annealing and random machine, mean field annealing and genetic algorithms; and on this basis and through some typical applications, such as the traveling salesman probl

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

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

神经网络C程序的第10章-neural network C procedures for the Chapter 10