神经网络工具箱

求解tsp问题的模拟退火源码，数据文件请仿照文件中的input.txt自行创建-the simulated annealing source, data files copied documents requested the creation of their own input.txt

matlab神经网络应用设计-Matlab neural network application design

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

用元胞自动机实现以不同颜色表示不同状态细胞的细菌分裂试验的算法C语言代码-Using Cellular Automata in order to realize different colors express different states of bacterial cells to split the test algorithm C language code

ICA经典文章,入门必看。受益，高阶矩统计牲在信号处理中的应用，详细介绍许多重要概念。-ICA classic article, the entry Watchable. Benefit Higher Moments statistical offerings in signal processing applications, detailed many important concepts.

一个可逆跳转蒙特卡罗采样（RJMCMC）算法详细程序，内附相关论文，对照论文看算法，便于理解。包含多种运动方式（增加，减少，分裂，合成，更新）-A Reversible Jump Monte Carlo sampling (RJMCMC) algorithm detailed procedures, enclosing the relevant papers, watch the control thesis algorithm, easy to understand. Contains a wide range of movement (increase, decrease, fragmentation, synthesis, update)

本程序主要实现了费若算法在信息论及编码中的应用-This procedure mainly realize the fee if the algorithm discussed in the Information Coding

The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.

利用OPenCV写的一个hough变换检测直线的程序-OPenCV written using a hough transform line detection procedure

简单的遗传算法，用于反演-simple genetic algorithm, for inversion