Acupuncture

粒子群优化支持向量机的算法，主要是用于优化两个参数(PSO LSSVM algorithm)

用计算机方法来进行有用的图像识别，以方便大家查阅。(Image Recognition)

a program to find the edges of particles in an image.

这是一种采用matlab语言来实现KPMtools的源程序。(this is a matlab method for KPMtools。)

shortest route finder

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)

圆形阵波束形成仿真，包括声压噪声的和矢量圆形阵的仿真图(Simulation of circular array beamforming, including sound pressure noise circular array and vector map of the simulation)

使用MATLAB和VC6进行混合编程的教程(Mixed use of MATLAB and programming tutorials VC6)

高斯迭代算法基本程序，用于求解矩阵方程，对初学者很有帮助(Gauss iterative algorithm for solving the matrix equation, useful for beginners)

基于MATLAB神经网络，利用165期双色球数据建立预测模型网络(Based on MATLAB neural network using 165 color ball prediction model data network)