考虑三个神经元的Hopfield网络，每个神经元有一个阈值和重量…

模糊技术与神经网络技术选编-fuzzy and neural network technology Selected

该算法为基于控制规则表的模糊PID控制 用MATlab开发，能够管直接运行-The algorithm for the control rules based on fuzzy PID control table with Matlab development, to pipe directly run

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.

机器人路径规划演示平台，自主移动的智能机器人演示程序源代码，可以实现机器人壁障功能-Demonstration platform for robot path planning, intelligent autonomous mobile robot demo program source code, you can realize robot barrier function

LIBSVM is an integrated software for support vector classification. LIBSVM provides a simple interface where users can easily link it with their own programs.

我们解决八数码问题,广度优先搜索可能会导致内存不够用,采用启发式搜索,启发函数为f(x)=g(x)+h(x) g(x)为该结点不同于目标结点的个数,h(x)为该结点的深度,选择那f(x)结点最小的那个结点进行扩展, 引入了一个"扩展数组[4]"(因为扩展的结点最多只有4个),该数组保存着某个结点的0点向各个方向的扩展的结点对象,然后对该扩展数组进行分析,利用启发函数在进行递归扩展... -us solve eight digital, BFS may lead to insufficient memory, using heuristic search, heuristic function f (x) = g (x) h (x) g (x) for the target node is different from the number of nodes, h (x) for the nodes of depth, the choice between f (x) nodes that the smallest node expansion. the introduction of an "expanded array [4]" (because the expansion of the nodes at most four), The array maintains a node of 0:00 a.m. to expand in all directions in the target node, and then expanded array analysis, use heuristic function during recursive expansion ...

背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution

该程序是基于BP网络的PID控制系统。系统由两部分构成：经典的PID控制器和神经网络。-that the procedure was based on BP network PID control system. System consists of two parts : the classic PID controller and neural networks.

遗传优化神经网络结构，C++源代码-Genetic optimization of neural network architecture, C++ Source code

人工神经元的bp算法，可用于函数拟合，时间序列数据的预测，目前应用非常广泛-artificial neurons bp algorithm can be used to function fitting, time series data estimation, is widely used