bp using neural networks to solve the problems or differences algorithm.

书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件-Books

Lin-Kernighan聚类算法源代码，下载后可以直接编译执行-Lin-Kernighan clustering algorithm source code, download directly to compile the implementation of

基于ICA的信号分离程序，是一个很好的信号处理方面的程序-based ICA signal separation procedure is a very good signal processing procedures

BP模型逼近异或问题，可观测隐层节点数及隐层数对模型的影响-BP model approximation differences or problems, the observation can be hidden nodes and hidden layers of the model

新型模拟退火算法解决TSP优化问题。自能退火。可用于大多数情况下的优化问题。-New simulated annealing algorithm to solve TSP optimization problem. Zineng annealing. Can be used in most cases the optimization problem.

遗传算法小程序。-GA small programs.

apriori经典算法及一个改进算法的程序,里面有具体的解析与操作-classical apriori algorithm and an improved algorithm for the procedure, there are specific analytical and operational

use swarm intelligence algorithm to slove travelling sales man problems in matlab-use swarm intelligence algorithm to slove traveling sales man problems in Matlab

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

在matlab 环境下用遗传算法求解TSP问题。包含源代码和说明文档-In the matlab environment using genetic algorithm TSP problem. Contains the source code and documentation