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本代码是基于MATLAB的模糊pid的仿真程序，经测试可以运行。(The code is based on the MATLAB simulation of the fuzzy pid process can run through the test.)

此程序可以直接用来进行脉动风压场的重建与预测，可以高效的缩减模态，提高计算效率。(This program can be directly used for fluctuating wind pressure field reconstruction and prediction can reduce the modal efficient, improve computational efficiency.)

human iris pattern recognition for biometrics

工程经济串讲，关于工程经济自考的资料，对正在自考的人也许有用，所以上传上来啦！(Engineering Economic Chuanjiang, with regard to engineering economy Zikao information on the person being Zikao may be useful, so upload the Laila!)

all about the signal process in matlab file

学习MATLAB的参考资料，对于初学者，可以参考里面的讲解实例。(Learning MATLAB reference, for beginners, can explain the instance reference inside.)

《matlab编程百例》光盘代码31-35("Matlab programming hundred cases" CD-ROM code 31-35)

非线性动力学、分岔 Matlab 程序实现，弹簧质量系统在简谐激励作用下的受迫振动，弹簧的恢复力F与变形x的关系为F=kx3，动力学方程为...30cosmxcxkxFwt++= 其中，给定参数，1m=，0.3c=，1.0k=，1w=，初始条件为(0)3.0x=，.(0)4.0x=设系统的动态参数为F0，绘出系统状态变量随参数变化分岔图，绘图参数对应的系统各周期及混沌状态的时间历程图、相轨迹图、Poincare映射图(Nonlinear dynamics, bifurcation Matlab program, the forced vibration spring-mass system under harmonic excitation, spring restoring force F and deformation x relationship the F = kx3, kinetic equation for ... 30cosmxcxkxFwt++ = wherein the given parameters, 1m = 0.3C = 1.0k = 1W =, initial condition (0) 3.0x = (0) 4.0x = set of the dynamic parameters of the system for the F0, plotted system status system cycle and chaotic state variables with parameter changes bifurcation diagram, drawing parameters corresponding time course of the phase trajectories, Poincare map)

这个题目是利用人工神经网络实现对数字调制信号的识别，建立BP网络，并用matlab编程实现仿真。(This topic is the use of artificial neural network to realize the identification of digital modulation signal, the establishment of BP network, and realize simulation matlab programming.)

说明：  极限学习机是一种神经网络仿真，比BP,SWM学习速度更快，参数设置更容易(Extreme Learning Machine is a kind of neural network simulation, compared with BP, SWM learning faster, easier to set parameters)