人工神经网络bp算法的matlab实现，对bp算法的matlab实现进行了简要的试探...

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.

我根据书上算法自编的蚁群程序，也是我的中期筛选设计。目录下函数收敛图是用了VC的结果，在matlab里画的-algorithm based on the book written by Ant procedures, and also my mid-screening design. Directory function convergence plan is the result of the VC in Matlab Lane painting

基于Fisher准则线性分类器设计，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-Based on Fisher linear classifier design guidelines, understanding the criteria Fisher method to determine the best linear method of the principle of the interface, as well as solving Lagrande multiplier principle.

实现了一般表达式的合一算法（采用最一般合一求取方法）-achieve a general expression of unity algorithm (to use the most general strike Ecumenical methods)

本程序用NetLogo开放，模拟行人流。为本人亲字编程。-the procedures used NetLogo open simulated flow. I affinity for the word programming.

基于Matlab的人工神经网络反向传播程序设计

遗传算法在tsp中的应用-genetic algorithm in the application tsp

人工智能里的A-star算法,用于机器人的路径规划和寻优.-AI"s A-star algorithm for robot path planning and optimization.

根据教材整理的神经网络程序！很多种神经网络程序-Finishing materials in accordance with the neural network program! A variety of neural network procedures

LinPacker是一个优化矩形布局的工具，是在具有遗传算法的半无限大小区完成这一操作的。对缩减工厂的库存是有用的。-LinPacker optimization is a rectangular layout of the tool, with a genetic algorithm in the semi-infinite size of the area to complete the operation. To reduce factory stocks will be useful.