模式识别与人工智能，圆检测HOUGH变换的改进算法

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

识别数据集,可以用来作为,分类的实验数据.类别:模式识别-Identification of data sets, can be used as, the classification of experimental data. Category: Pattern Recognition

一个用C++实现的bp网络算法程序，供大家参考-a C realized bp network algorithm, for your reference

《神经网络模式识别及其实现》源程序-"pattern recognition and neural network to achieve" source

bp神经网络对短期电力负荷的预测，一周预测一天，输入是归一过的数据。-bp neural network for short-term load forecast, the forecast one day a week, enter the data have been normalized.

与神经网络有相似的根源。但近年来在分类中得到了广泛的应用。这意味着，如果我对一些事物进行了分类（但你对我如何分类一无所知，或者说你不知道用于分类的规则），当一个新数据出现时，SVM可以预测它应该属于哪个集合。

dos 下运行,蚂蚁找食物,图形演示,动态化显示每一只蚂蚁如何找到事物.-dos run, the ants find food, presentation graphics, dynamic display every ants how to find things.

分类算法是数据挖掘中最为重要的技术之通过介绍当前最具有代表性的分类算法,分析并总结了各种算法 -NULL

BP神经网络C＋＋实现-BP neural network implemented by C++

关联规则中的频繁项集生成算法Mafia1.4版本，一个效果非常好的算法，可在linux和windows下编译运行。-association rules of frequent item sets Algorithm Mafia1.4 version, a very good effect algorithm, and the Linux compiler running under windows.