cost存放了一个强连通图的边权矩阵，作为一个实例。 可在workspace中加载 运用此算法要注意多次试验。 bianquan.m文件给出了一个参数实例，可在命令窗口中输入bianquan,得到邻接矩阵C和节点个数N以及一个任意给出的路径R,，回车后再输入jiaohuan3,得到了最优解。 由于没有经过大量的实验，又是近似算法，对于网络比较复杂的情况，可以尝试多运行几次jiaohuan3,看是否能到进一步的优化结果。-storage cost of a strongly connected graph edge weight matrix, as an example. Can be loaded in the workspace to use this algorithm to the attention of numerous tests. bianquan.m document gives examples of a parameter can be in the command window, type bianquan, be the adjacency matrix C and the node number N and an arbitrary given path R,, carriage return after the input jiaohuan3, have been the optimal solution . After the absence of a large number of experiments, it is approximate algorithm, for more complex network situations, you can try to run several jiaohuan3, can look to further optimize the results.

网上的大部分BP实现曲线拟合都使用MATLAB库函数，这不利于读者理解BP神经网络的算法。本文用C源码实现MATLAB库函数.-BP to achieve most of the Internet curve fitting using MATLAB library function, this does not help readers understand the BP neural network algorithm. In this paper, the realization of C-source MATLAB library functions.

文本倾向性分析程序，由中国科学院计算所开发，基于LDA模型，不可外泄的内部程序，冒着被开除的风险与大家分享，欲下从速。-Tendentious text analysis program, developed by the Chinese Academy of Sciences calculated, based on the LDA model, the internal procedures can not be compromised, despite the risk of being fired to share with you, as soon as possible For the next.

程序代码说明 神经网络的实例,内附详细说明-Code description examples of neural network, containing a detailed description of

这是一个非常好用的蚂蚁算法(蚁群算法)模拟程序,很好用噢,快来试试吧-This a very user-friendly ant algorithm (ant colony algorithm) simulation program, easy to use Oh, Come and try!

java版的PrefixSpan算法实现，文件里包含了详细的文档说明，还有示例。-PrefixSpan algorithm. The document containing a detailed description and an example.

基本遗传算法源程序（基于基本遗传算法的函数最优化C程序）-Basic genetic algorithm source code (based on a function of the basic genetic algorithm optimization procedure C)

这是bs球队的仿真2D比赛程序，其中的智能算法和强化学习算法值得借鉴。-This is bs tournament team 2D simulation procedure, in which intelligent algorithms and reinforcement learning algorithm is worth learning from.

人脸定位实例是模式识别中一个比较复杂的技术 希望能帮到大家-Human Face Localization example is a more complicated pattern recognition technology hope to help everyone

网络能通过学习带正确答案的实例集自动提取“合理的”求解规则，即具有自学习能力-network can learn the correct answer with examples of automatic drawing of the "reasonable" solution rules, that is self-learning ability