分层聚类算法的一个算法，它使用的代表…

人工智能中的深度搜索的九宫问题 用VC实现-artificial intelligence, in-depth search of JiuGongTu issue with VC

分布式并行数据挖掘计算框架及其算法研究.主要是关联规则-Distributed parallel computing framework for data mining and its algorithm. Mainly association rules

java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）-java prepared by the Bayesian network classifier (seemingly no model of the learning process and parameters)

D星算法，是A星算法的动态版本，都是基本的路径规划算法-D Star algorithm, stars are A dynamic version of the algorithm is the basic path planning algorithm

专家系统－神经网络代码-expert system-neural network code

最短寻路算法，利用Astar算法实现，是arp游戏中的寻路模型，有图例-Find the shortest path algorithm, the use of Astar algorithm is arp routing game model, there is Legend

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.

完成基于遗传算法的图像模式识别功能流程描述-To complete the image based on genetic algorithms pattern recognition function of the process described

函数的遗传算法优化程序-function of genetic algorithm optimization procedures

The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application.