cenci

说明：  选择性读入并筛选数据，然后已ASCII码输出。Matlab程序。(Matlab program on loading and export database.)

对于两种目标类型，有无脉冲积累的SNR相对检测距离的曲线。(For both target types, with or without pulse accumulation of SNR relative detection distance curve.)

基于神经网络估算断面客流量与出行量之间的OD矩阵(OD matrix estimation section between the amount of traffic and travel based on neural network)

Simulates the Henon map

vigenere密码在起初的破译中是靠穷举法，找出与阅读习惯最适合的明文，但是也可以先缩小穷举范围，再查找(vigenere initial crack passwords by brute-force method is to identify the most suitable and clear reading habits, but can also be reduced exhaustive range, and then find)

Minimizes a function with the method of simulated annealing

Simple Standard PSO, Implemented by Matlab

波导缝隙天线缝隙参数分析、提取、计算，在matlab环境下快速计算(waveguide slot antenna slot parameter calculation)

.附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

有关matalab方面的仿真文献，希望大家有好的东西都能够共享！(Matalab aspects related to the simulation literature, I hope everyone has good things to share!)