图11-2-6DOG小波时域和频域波形

说明：  k-means聚类以及比较，对比比较经典的算法，读者可以自行修改等等(Clustering and comparison, comparison more classical algorithm, the reader can modify and so on)

初始区间的求解,可用于确定函数的初始区间，从而为优化提供可靠依据(The solution of the initial interval, can be used to determine the function of the initial interval to provide a reliable basis for the optimization)

混合蛙跳算法（Shuffled Frogleaping Algorithm）是进化计算领域新发展起来的一种优化算法，由Eusuff和Lansey与2003年为解决组合优化问题而最先提出(shuffled frogleaping Algorithm，)

声波方程的正演程序，注释非常清晰，并且可以显示正演波场快照。(Acoustic wave equation forward procedure, comments are very clear, and can display the forward wave field snapshot.)

说明：  This function file calculates the outlier by different methods including MAD, Sliding window MAD, IQR, etc.

一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。 (A very simple genetic algorithm source code, is Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact, do not have to troubleshooting. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of " merit function" can be.)

多变量PID调谐功率单元机组的非线性控制(Multivariable PID tuning Power Generating Unit and nonlinear control)

电机模型，能够较好的实现电机仿真。电机模型，能够较好的实现电机仿真。电机模型，能够较好的实现电机仿真(Motor model, the motor can achieve a better simulation. Motor model, the motor can achieve a better simulation. Motor model, the motor can achieve a better simulation)

Local Triplet Pattern

梯度寻优，二阶模型的辨识，结果很准,工业控制热工传递曲线等(Gradient optimization, second-order model identification, the result is quasi-)