Neural_PID_control_of_two-tank_water_level_control

菲涅耳衍射的程序，对于研究物理光学或者应用光学的科技工作者应该有所帮助(Fresnel Diffraction procedures for studying physics of optical or optical technology should help workers)

Syterm indentifitionf

有关于数字信号处理的水印技术，成功运行，除水印效果很明显(Digital signal processing on the watermarking technology, successful operation, in addition to obvious watermark)

Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant colony optimization algorithm. There are three method to input the job : xls file, matriks, and atrractive dialog.

MATLAB程序设计教程电子教案 包含：matlab实例编程一百个源程序， MATLAB程式设计入门篇程式流程控制等一系列基本操作(MATLAB Programming Guide electronic templates Contains: matlab programming examples one hundred source, MATLAB Programming Beginners program flow control and a series of basic operations)

Temperature sensing Fiber

说明：   DC Defect Correction Method. X = DC(A,B) attempts to solve the system of linear equations A*X = B for X. The N-by-N coefficient matrix A must be square and the right hand side column vector B must have length This uses the defect correction method until default convergence criteria or MAXIT iterations is reached.

说明：  对周期激振力作用下的单自由度无阻尼系统，将激励展开成傅里叶级数，观察其对方波函数的逼近情况，并计算系统的受迫振动。(For the single degree of freedom undamped system under the action of the periodic excitation force, the excitation is expanded into Fourier series, and the approximation of Fang Bo's function is observed and the forced vibration of the system is calculated.)

用matlab编写，用RBF网络，来模拟一个已知函数（阶跃函数）(Written with matlab using RBF network, to simulate a known function (step function))

正交最小二乘辨识算法 该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares. [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A. This function also returns in the vector ind the indexes of the best r regressors (i.e., the best columns of A to use). If r is equal to n, the solution x given by OLS is the same as the solution given by A, but in ind we still have the regressors sorted by their importance. This means that one can perform a feature selection by taking the first k entries in ind (k<r).)