multiplexxx

运用MATLAB实现贷款按揭与保险产品模拟(A simulation of Mortgage and insurance products Coded by MATLAB)

This paper deals with analysis of main functional diagrams of step PID controllers for electric motor-driven actuators. The main formulae to calculate the parameters of the diagrams of step PID controllers are presented in the paper. The influence of these parameters on the transient processes in step controllers and on the output position of the actuator is analyzed. Transient processes in step controllers with motor-driven actuators are simulated in PI and PID control mode. These transient processes are compared to the transient processes in continuous controllers. The accuracy of step PID controllers is analyzed, and restrictions on the parameters of step PID controllers are presented. The diagrams of step PID controllers considered in this paper can be implemented in the up-to-date PLCs software for automatic control using the electric motor-driven actuators in the control loops.

利用贝叶斯实现的分类器小程序，显示出按照最小风险和最小误差分类的结果(Bayesian classifier implemented using a small program to show in accordance with the minimum risk and minimum error classification results)

通信原理实验课程例程，psk，fsk等调制解调过程模拟(Communication theory experiment program routines, psk, fsk modem simulation, etc.)

Hard decision TPC coding sceme.

manipulator tracking

实现地震叠前三参数反演（纵波速度、横波速度、密度。本程序是基于matlab编写的。(Stack seismic inversion to achieve the first three parameters (P-wave velocity, shear wave velocity, density. This program is based on matlab prepared.)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)

说明：  计算hurst_exponent的matalb程序 用于检测时间序列的非线性特性(Procedures for calculating hurst_exponent of matalb time series for nonlinearity detection)

Direct Turk Control of Induction Motor