sofmFaultDiagnosis

摘 要:基于研究了离散混沌系统的数值解法和图形仿真,同时针对离散时滞混沌系统给出了数值仿真 的程序.(Abstract: Based on the study of a discrete chaotic system of numerical solution and graphical simulation, while for discrete time-delay chaotic system a numerical simulation procedure.)

应用地球物理学电法勘探对称四级直流电测深matlab程序(Electrical method of applied geophysics exploration symmetrical four DC sounding matlab program)

实现劳思表的程序判断，可以根据输入的传递函数的系数判定系统的稳定性(Lauth table to achieve the procedure to determine, based on input of the transfer function coefficients to determine the stability of the system)

实现拉格朗日插值，和用拉格朗日插值拟合函数(Lagrange interpolation to achieve, and the fitting function with the Lagrange interpolation)

说明：  本文件包括葡丰概率实验测定pi的方法介绍和matlab实现方法，简单易用。(This document includes the experimental determination of the probability of Portugal Fung pi method matlab introduction and realization of methods, easy to use.)

相关的 BSS 盲源分离问题和 CS压缩感知的结合4篇论文打包，以及一个声音信号混合分离的简单实现(the realization of BSS(blind source separation) and CS(compressed sensing), and a sample of volume signal s matlab illustration)

基于求解非线性薛定格方程的分步傅立叶方法和参变量积分法，在该论文中，我们提出了一种求解光脉冲在N芯光纤耦合器中传输信号的耦合模方程组的数值方法，同时用此方法对光脉冲在双芯和三芯非线性耦合器中的传输演化进行了仿真。(alculated using non-linear equation shrodinger received a variety of soliton solutions)

c程序，子函数chirp（）产生周期性chirp信号，即线性调频信号。(c procedures, Functions chirp () have a periodic chirp signal, that is, the linear FM signal.)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

一个非常实用且能进行模糊综合评判的matlab程序(A very practical and can be fuzzy comprehensive evaluation of the matlab program)