基于VC开发的遗传算法源程序，有详尽的注释说明

这个程序是A*算法的简单实现，来解决八数码问题-It just simply applys the A* algorithm to solve the Eghit-puzzle problem

基于matlab的指纹识别系统，采用基于细节点对比，输入图像必须是256×256，8－bit灰度值，500dip的指纹。-Matlab-based fingerprint identification system based on Minutiae contrast, imported images must be 256 x 256.8-bit gray scale values 500dip fingerprints.

使用于初级使用者.能够直接使用采用最优化算法 遗传算法-use in the primary users. To use the most direct use of genetic algorithm optimization algorithm

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

实现模糊控制算法(AD DA)和人机接口（4x4键盘 2x16LCD 串口1/2）

用C++编写的遗传算法，涵盖较多内容，有文档-prepared by the genetic algorithm, covering more content, documents

用BP神经网络实现曲线的模拟-BP neural network simulation curve

用c++ 开发的中国象棋，其中有网络版和单机版 ，但由于水平有下限，单机版做得很差，电脑智商较低，党调整到很难实几分钟 电脑才能走一步。其中参考了Pc gameing这本书，这本书讲得真好。-with the development of the Chinese chess, which is the network version and the single version, but a lower level. has done a poor job of a single computer, computer lower IQ, and the party to be very difficult to adjust a few minutes a computer can go one step further. With reference to the Pc gameing this book, this book put a shot.

Matlab神经网络工具箱应用简介 神经网络已经在各个领域中应用，以实现各种复杂的功能。这些领域包括：模式识别、 鉴定、分类、语音、翻译和控制系统。 如今神经网络能够用来解决常规计算机和人难以解决的问题。我们主要通过这个工具箱 来建立示范的神经网络系统，并应用到工程、金融和其他实际项目中去。-Matlab neural network toolbox application profile neural network has been applied in various fields in order to achieve a variety of complex functions. These areas include: pattern recognition, identification, classification, voice, translation and control systems. Today neural networks can be used to conventional computers and people to solve difficult problems. We mainly through the toolbox to create a model of neural network systems, and applied to the engineering, financial and other practical projects.

遗传算法的讲义！- Heredity algorithm printed lecture!