这是一种模式识别算法的休假

完整的3D 模型检索程序，使用C语言编写，可以使学习者从底层研究三维模型的检索框架，同时提供的C语言程序包也可以设计新的三维模型检索算法。-Complete 3D model retrieval, the use of C language, so that students can study three-dimensional model from the bottom of the search framework to provide the C language package can also be three-dimensional model of the design of the new search algorithm.

WinSVM支持向量机预测分类使用指导书-WinSVM support vector machine classification for prediction guide book

由 Visual C++ 编译过，可以求解任何个数城市的tsp问题，只要输入城市坐标即可。-By Visual C++ Compiled, you can to solve any number of cities tsp, so long as you enter the city coordinates.

关于模式识别的经典书籍，英文版的，很值得看-On Pattern Recognition classic books, in English, is worth look

这是关于数据仓库与数据挖掘的Apriori算法的实现程序，基于关系型数据库的。-This is the implementation of Apriori Algorithm used in Data Warehouse and Data Mining filed, based on the Relation Database.

一个简单的遗传算法 采用实数编码、比例分配轮盘赌选择、杂交采用离散与算术双重杂交、一般性变异。-A simple genetic algorithm using real-coded, proportional allocation of roulette selection, hybrid discrete and numeracy double hybridization, general variation.

基于图像处理的相机自动调焦系统，开发环境：VC。~..~-based on image processing camera auto-focusing system, development environment : VC. ~ ~ ..

经典BP算法的源程序，对人工神经网络中的bp有一定的帮助作用-BP algorithm is the classic source of artificial neural networks have certainly bp helpful

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

数据挖掘中很不错的源码,一个share算法的java源程序,有极好的可读性-data mining is a good source, a share algorithm java source files, has an excellent readability