BP神经网络的C语言实现，对理解神经网络很有帮助。

Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.-Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.

基于matlab和DSP的IIR/FIR 滤波器-Matlab and DSP-based IIR/FIR filter

自主式决策树学习的程序源码，对研究机器学习的同行很有用。-Autonomous Decision Tree learning procedures source, the study machine learning peer useful.

用粒子群优化算法计算给定图像的平滑度。

遗传算法的VS2003工程，调试通过,An Introduction to Genetic Algorithms for Scientists and Engineers 书中的算法源程序-Genetic algorithm works VS2003, debugging through, An Introduction to Genetic Algorithms for Scientists and Engineers book algorithm source code

一个很好的中国象棋源代码 本人机对弈程序采用了多种搜索算法. 本程序还具有悔棋,还原功能,还可以记录走法.-a good source of Chinese chess game machine code, I use a variety of procedures for search algorithm. The procedure also has to repent Mullick, recovery capabilities, but also can be recorded in law.

Visual C++实现的基因遗传算法库源代码以演示程序Free Source Code for Genetic algorithm 2008年05月21日 C++, Windows, Win32, Visual Studio, MFC, STL, Arch, Dev, Design 基因遗传算法都是针对概率的，所以因为其随机的本质，导致其结果可能是好的，也可能是坏的，于是我们就需要一个方法确认这个解到底有多大的可用性。这是通过计算相似拟合度进行衡量的。染色体Chromosomes代表了基因遗传算法的结果。每次迭代，算法生成一个染色体，这些子孙染色体又会产生新的迭代……关键内容 这个基因算法库是用 Visual Studio 2005 编写的程序，第一个使用 Microsoft C/C++ 编译器，第二个使用Intel C++ 编译器。 如果你希望在你的程序你使用它，有两个办法，1是直接引用 Genetic Algorithm Library 项目，然后编译；2是添加GeneticAlgorithm.lib 静态链接库到项目中-err

蚁群算法的实现，使用一个例子验证蚁群算法的有效性。-ant algorithm implementation, use an example to verify the validity of ant colony algorithm.

Neural Network program for pattern classification

1、编制程序显示印章图像（24位真彩色位图）； 2、读出位图中每一像素点的（R，G，B）样本值； 3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布； 4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分） 5、将分类后的结果标记到原始图像上，检查其效果。 -1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness.