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。...

University of Amsterdam的2003年robocup源程序代码，队名trilearn，老牌2D强队-University of Amsterdam

这是用C语言编写的神经网络源程序，各种网络都有相应的C程序-This is prepared by using C language source code neural networks, a variety of network have corresponding C procedures

无先导粒子滤波器工具箱，并附带pf，kf，Ukf程序，用于跟踪估计-without leading particle filter toolbox and fringe pf, kf, Ukf procedures for tracking estimates

关于遗传算法 源代码-On the genetic algorithm source code

神经网络仿真的基本程序- Nerve network simulation main routine

模式识别的一些预处理知识源程序-pattern recognition pretreatment some knowledge source

请认真书写上传资料的详细功能、包含内容说明(至少要20个字)。尽量不要让站长把时间都花费在为您修正说明上。压缩包解压时不能有密码-You can see from the above images that lower levels capture flow at center (small displacements), whereas higher levels capture flow at periphery (larger displacements).

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

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.

经典的BNP神经网络例子-classic example BNP neural network