Canny 边缘检测器荸荠图像

人工神经网络（Artificial Neural Networks，简写为ANNs）也简称为神经网络（NNs）或称作连接模型（Connection Model），它是一种模仿动物神经网络行为特征，进行分布式并行信息处理的算法数学模型。这种网络依靠系统的复杂程度，通过调整内部大量节点之间相互连 接的关系，从而达到处理信息的目的。 本程序实现了神经网络算法 的框架，只需提供训练集便可运行。

通过编制迷宫程序来熟练掌握A*算法。充分理解A*算法和启发函数的关系-through the preparation of the maze procedure to skillfully master A* algorithm.* A full understanding of algorithms and heuristic function of

Gauss column principle eliminate for bankdialog systems

自己做的程序,可能对你有用-own procedures that may be useful to you

该矩阵类库源代码已通过编译，希望对大家有帮助！-The matrix class library source code has passed through the compiler, and they hope to help everyone!

98年全国大学生数学建模竞赛B题“水灾巡视问题”，是一个推销员问题，本题有53个点，所有可能性大约为exp(53),目前没有好方法求出精确解，既然求不出精确解，我们使用模拟退火法求出一个较优解,将所有结点编号为1到53,1到53的排列就是系统的结构,结构的变化规则是:从1到53的排列中随机选取一个子排列,将其反转或将其移至另一处,能量E自然是路径总长度。具体算法描述如下：步1： 设定初始温度T，给定一个初始的巡视路线。步2 ：步3 --8循环K次步3：步 4--7循环M次步4：随机选择路线的一段步5：随机确定将选定的路线反转或移动，即两种调整方式：反转、移动。步6：计算代价D，即调整前后的总路程的长度之差步7：按照如下规则确定是否做调整：如果D0,则按照EXP(-D/T)的概率进行调整步8:T*0.9-->T,降温-98 National Mathematical Contest in Modeling B and that the "flood inspections", is a salesman problem, and that is 53 points, all possibilities about exp (53), there is no good way to get accurate solutions, since no exact solution for, we used simulated annealing France obtained an optimum solution to all nodes to a number of 53 to 53.1 is with the system structure, changes in the structure of the rules is : from 1-53 with a randomly selected with a son, to reverse or to move it to another, the energy E is the natural path length. The specific algorithm is described as follows : Step 1 : The initial set temperature T,

使用fdtd算法计算光子晶体的模式折射率-Fdtd algorithm using photonic crystal pattern of refractive index

利用黄金分割法求解线性方程组逼近问题。转载-The use of golden section method for solving linear equations approximation problem. Reprint

图论中使用分支与界法求解旅行商问题，直接在vc中编译可运行-graph theory with the use of branch and bound for traveling salesman problem, which directly vc compiler can run

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