test

说明：  系统参数辨识，用增广最小二乘算法实现。对书中的程序进行了改进：由于噪声是未知的，虽然我们模拟了系统的随机白噪声，但进行辨识时必须对噪声进行估计，见程序45行和53行。(System parameter identification, with the extended least squares algorithm. Procedures for improving the book: Because the noise is unknown, although we simulate a system of random white noise, but to identify the noise must be estimated, see the program of 45 lines and 53 lines.)

MATLAB的一些经典使用案例 适合初学者掌握MATLAB的使用技巧(the use of MATLAB)

Zonal reconstruction Shack-Hartmann wavefront sensor

sor method matlab for iterative methode

关于多选择背包的很好的文章，提供了各种设计思路(Multiple Choice Knapsack Problem Example of planning choice in transportation )

this is matlab user-guide.

利用matlab编写的遗传算法程序，很经典，是从一个毕业的师姐那要过来的，跟大家分享一下(Prepared using matlab genetic algorithm, very classic, is a graduate of the senior sister apprentice that to come and share with you)

PV Array very goog in usw

利用BNT产生大量样本数据进行贝叶斯网络的结构学习与参数学习。(Use a large amount of sample data BNT structure learning and parameter learning Bayesian network.)

基于云模型雾化算法的实现。该程序实现了雾化算法在全局范围内的最优搜索（二维，十维，三十维）。(Aerosol cloud model based algorithm. The process of atomization Algorithm for the Global Optimum Search in the context of (two-dimensional, 10 dimensional, 30 dimensional).)