SGN2206LectureNew2

读取mat中的文件名并将其中的变量写入与变量名一致的txt文件中(read and write document)

说明：  用matlab编程实现单层感知器的实验。对线性可分问题提供了一种较好的解决方案。(it is a very useful experiment.)

利用加权的排列熵算法WPE，通过白噪声加冲激信号的测试(Using the weighted permutation entropy algorithm WPE, through the white noise plus impulse signal test)

matlab时频分析工具箱，分析信号时频特性。(Matlab time-frequency analysis toolbox, analysis of the time-frequency characteristics of the signal.)

说明：  对输入的二值化图像，通过链码跟踪方法得到图像中的目标边界。(The input binary image, obtained by the chain code tracking the target image boundary.)

说明：  基于协同优化算法的多目标轧制规程优化设计(Optimize the design of rolling schedule based on the multi-objective collaborative optimization )

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

说明：  pso算法描述，使用pso优化BP神经网络算法，该代码为基于PSO和BP网络的预测(The PSO algorithm is described, and the BP neural network algorithm is optimized by pso. The code is based on the prediction of PSO and BP network.)

请认真阅读您的文件包然后直到其具体功能(matlab在电气领域应用）(Please read them carefully and then your package until its specific function (matlab in the field of electrical applications))

基于模型的风力发电机资料，有需要的学习一下吧(Model-based wind turbine data, there is a need to learn about it)