SVM 简单实现

Magic number.. This programme can guess your decided number, by VB simple programme.

关于恒虚警的一些文献，代表性的介绍了恒虚警的几种处理方式。很有参考价值(About CFAR literature, the representative of the CFAR several approach. Great reference value)

说明：  数值分析 清华大学 杨顶辉 数值实验4.1 算法设计与比较(numerical analysis)

说明：  CT三维重建程序代码，正常运行，适合研究这方面的初学者学习借鉴(CT three-dimensional reconstruction program code, normal operation, suitable for beginners to learn from this aspect)

MATLAB数值计算经典教程MATLAB numerical classic tutorial(MATLAB numerical classic tutorial MATLAB numerical classic tutorial)

matlabe code for mumford......

用Matlab实现图像的整数小波变换和逆变换，对行和列各做一次，采用最简单的S小波，它是Haar变换的整数形式。此程序代码为逆程序代码(Using Matlab for image wavelet transform and inverse integer transform, the rows and columns to do once the most simple and S-wavelet, which is the integer Haar transform. This program code against the code)

说明：  初学matlab 为了老婆编的 只有跟老婆才能玩的小游戏 (game wife matlab)

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, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

说明：  具有非线性输入的SISO非线性时变时滞系统的自适应模糊控制仿真程序(Adaptive Fuzzy Control of SISO Nonlinear Time-Varying Delay System with Nonlinear Input )