Neural Networks ，8种神经网络，BP，RBF，CPN等通过VC++来实现了！

遗传算法GA的源代码及例子-genetic algorithm source code and examples

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.

各种数值算法，包括：二叉树、贪心算法、搜索算法、遗传算法、模拟退火算法、分治策略等等。-A variety of numerical algorithms, including: binary tree, greedy algorithm, search algorithm, genetic algorithm, simulated annealing algorithm, sub-rule tactics and so on.

利用a星算法来走迷宫的C++实例。console下运行，a星算法比较简洁明了，便于学习-The use of a satellite algorithm to Maze in C++ examples. console running, a star algorithm is relatively simple and clear, easy to learn

是一个非常全面的pso的程序，有16个函数的测试，并且用三维图形将寻优过程显示出来。对所有的参数都可以修改测试-Is a very comprehensive procedure for the PSO, there are 16 function testing, and using three-dimensional graphics optimization process will be displayed. For all the parameters can modify the test

微软的基于HMM的人脸识别原代码, 非常经典的说-Microsoft HMM-based Face Recognition source, said the very classic

遗传算法的实型表示实现，与大家共享一下。实际应用中只需改变evalF.m就可以-Genetic algorithm, said implementation of the real, to share with you about. Practical application can only change evalF.m

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

模式识别的基础－－相似度量的介绍，对大家可能有帮助-based pattern recognition-- similar to the measure, we might have to help