Smart electric car procedures, including light detection, and line detection, ob...

是国外相关研究人员提供的发现频繁模式（包括频繁集、频繁子图等）的最新版本算法。-Foreign researchers with the relevant frequent pattern discovery (including frequent itemsets, frequent subgraph, etc.) the latest version of algorithm.

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.-particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.

随机神经网络工具箱-random neural network toolbox

bp神经网络计算的源程序-bp neural network calculation of the source

-连续动态环境的XCS问题的测试版本：真实的多路复用器实验：XCS是在动态环境中探索的，对基本概念有不同程度的改变。参考文献：H.H.Dam，H.A.Abbass，C.J.Lokan。进化在线数据挖掘是一种动态环境下的研究。2005被《斯普林格计算智能研究丛书》中的一章所接受H.H.D.am，H.a.Abbass，C.J.Lokan。要真实！具有连续值输入的XCS。IW LCS 2005。学习分类系统国际研讨会。华盛顿特区，2005年6月。

ID3算法的另一种用java实现的代码，利用向量。-Another ID3 algorithm realize with java code, using vector.

简单的遗传算法的例子,对于遗传算法的初学者来说非常有用.-Simple genetic algorithm examples.it very helpful for the beginners of genetic algorithm

TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.

这是台湾张智星的模式识别的课件的源码，包括GMM和data clusting-This is the star pattern recognition Zhang Zhi courseware source, including the GMM and data clusting

根据人工鱼群算法的基本原理，求解一个函数值的最优解；-According to the basic principles of artificial fish-swarm algorithm, solving a function value of the optimal solution