介绍了遗传算法工具箱及其具体的应用，很有参考价值.

Hopfield 网――擅长于联想记忆与解迷路 实现H网联想记忆的关键，是使被记忆的模式样本对应网络能量函数的极小值。 设有M个N维记忆模式，通过对网络N个神经元之间连接权 wij 和N个输出阈值θj的设计，使得: 这M个记忆模式所对应的网络状态正好是网络能量函数的M个极小值。 比较困难，目前还没有一个适应任意形式的记忆模式的有效、通用的设计方法。 H网的算法 1）学习模式――决定权重 想要记忆的模式，用-1和1的2值表示 模式：-1，-1，1，-1，1，1，... 一般表示： 则任意两个神经元j、i间的权重： wij=∑ap(i)ap(j)，p=1…p； P：模式的总数 ap(s)：第p个模式的第s个要素（-1或1） wij：第j个神经元与第i个神经元间的权重 i = j时，wij=0，即各神经元的输出不直接返回自身。 2)想起模式： 神经元输出值的初始化 想起时，一般是未知的输入。设xi(0)为未知模式的第i个要素（-1或1） 将xi(0)作为相对应的神经元的初始值，其中，0意味t=0。 反复部分：对各神经元，计算： xi (t+1) = f (∑wijxj（t）-θi), j=1…n, j≠i n―神经元总数 f（）--Sgn（） θi―神经元i发火阈值 反复进行，直到各个神经元的输出不再变化。-Hopfield network-- good at associative memory solution with the realization of lost H associative memory networks, are key to bringing the memory model samples corresponding network energy function of the minimum. With M-N-dimensional memory model, the network N neurons connect between right wij and N output threshold j design makes : M-mode memory corresponding to the network is a state network energy function is the M-000 minimum. Mor

MCP(最大截问题)的模拟退火算法程序源码-MCP (the largest cut-off issues) of the simulated annealing algorithm program source

遗传算法工具箱C++，本为Linux系统设计，现在改为在VC下能顺利编译而不需通过任何修改。基于面向对象方法设计，便于使用和扩展。-Genetic Algorithm Toolbox C++, This for the Linux system design, is now in the VC under the smooth adoption of the compiler without any changes. Method based on object-oriented design, easy to use and expand.

一种基于蚁群算法的聚类组合方法，具体可以查看里面书的内容。-ant colony algorithm based on the combination of clustering methods, the specific can view the contents inside.

matlab实现机器人基于两点法的路径规划，路径规划的实用例程-Matlab 2:00 achieve robot path planning method, path planning practical routines

一个用vb编写的一维模糊控制器程序! 简单易懂-Vb prepared using a one-dimensional fuzzy controller program! Easy-to-read

经典算法clique的java实现-Classical algorithm clique of the java implementation! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages-The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages

用matlab编的，一个典型的BP神经网络的例子，相信对你的学习、工作都能起到一个参考的作用-Using matlab series, a typical example of BP neural network, I believe your study, work can play the role of a reference