Duffing-equation

函数Jf用来求所付代价的增加值，只要在matlab中输入Jf=Jf(a)得到的结果就是J了，其中a的值为对应的 值； 函数Rf用来求所收益增加值，只要在matlab中输入Rf=Rf(a)得到的结果就是R了，其中a的值为对应的 值； 如果要修改表格的值的话，就对应的修改函数Jf和Rf中的数组y的值就好了，M的值和N的值以及r的值都可以修改的。 (Used to demand the consideration paid for the increase in value of the function Jf, in matlab enter Jf = Jf (a) the results obtained is J, the value corresponding to the value of a function Rf used to ask or gains added value, as long as Rf = Rf (a) input in matlab result is R, where a value of corresponding value If you want to modify the value of the form, it corresponds to modify the function Jf and Rf array y values ​ ​ like , the values ​ ​ of M and N values, and the value of r can be modified.)

该压缩包里有 MATLAB的许多源码，包括插值拟合。绘图等(MATLAB)

实现了基于matlab web server的虚拟试验平台的程序，实现了部分信号与系统的验证性试验(Implementation of virtual experimental platform of Matlab Web based on server program, realized the confirmatory test signals and systems Part)

通过matlab程序实现，对YUV视频序列进行播放(By matlab program, YUV video sequence for playback)

It is about an communication lab experiment of modulated signals

to extract the feature

关于恒速风电机机组的matlab仿真，可以了解恒速风电机组的相关运行特性(modeling and simulation of Constant Speed Wind Power Unit This simulation gives an example of Modeling and simulation of Constant Speed Wind Power (CSWP) coupled with wind turbine. Latest researches and developments which have been published in imminent journals, you can get it if you are interested in it. Because of the advantages of the CSWP over other generators it is being used for most of the wind applications. Various researches have been done in modelling and simulation field of CSWP coupled with wind turbine. This simulation visualise the researches in the area of study of CSWP, its modelling, simulation and performance analysis of CSWP coupled with wind turbine. )

数值分析实验报告，文档中附有源码，可供学习数值分析的学生借鉴学习。(Students learn from numerical analysis lab reports, document with source code, available for study and numerical analysis)

this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.

machine learning algorithm source code: logistic regression in MATLAB.