Betweenness

运用自相关法，周期图法和burg法分析加噪信号功率谱并比较(The use of auto-correlation method, periodogram analysis burg and noise signal power spectrum and compare)

均匀光纤光栅的特性分析有反射谱与透射特性(fiber grating analysis)

被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)

本代码是解决结构动力学中经典的问题的源程序并且采用了gui设计，一定程度上实现了人工智能的作用(This code is to solve the classic problem in structural dynamics of the source and using the gui design, implemented to some extent the role of artificial intelligence)

二阶有源低通滤波器在各参数设置下的频谱分析。(Second-order active low-pass filter settings in the parameters of spectral analysis.)

运用李亚普诺夫指数分析混沌系列并进行预测(lyapunov index analysis and chaos series predict)

Estimates the power spectral densities (PSDs) using the EB method with q = 0 for deciding the diagonal loading.

生成oil价格仿真数据，用于模型辨识，参数辨识的验证(Oil prices to generate simulation data for model identification, parameter identification verification)

FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coordinates for each data point. The coordinates for each cluster center are returned in the rows of the matrix CENTER. The membership function matrix U contains the grade of membership of each DATA point in each cluster. The values 0 and 1 indicate no membership and full membership respectively. Grades between 0 and 1 indicate that the data point has partial membership in a cluster. At each iteration, an objective function is minimized to find the best location for the clusters and its values are returned in OBJ_FCN.

一个简短的灰色模型计算仿真程序，下载直接到matlab环境下运行即可(a short gray model simulation program, downloaded directly to the Matlab environment can be run under)