Matlab

这是一个基于GUI系统。 GUI是在命令行调用通过键入“ui_start”。 GUI是自我解释性。 工具提示是由于在蓝颜色。将光标定位需要这些详细的说明。主要文件 “runsim.m”。在这些模拟的单变量的选择是没有明确给出。这是因为单输入单输出的结果为特定 (This is a GUI-based system. GUI is invoked on the command line by typing " ui_start" . GUI is self explanatory. Tool tip is due to blue color. Position the cursor need these detailed instructions. Main File " runsim.m" . Single variable in these simulations is not clear given the choice. This is because the single-input single-output results for a particular)

此文件是弹性地基梁计算程序。可通过输入梁与荷载的初始参数，计算弹性地基梁的内力、位移、反力分布。(This paper Xi River rudder is the Laos regulatory ?у Ban Tian the bake ? Cong $ Cheng Fu example, Shi. Efficiency Chi Adoption Input percent and Ya drilling crazy poured Fei Fan Wai-Pu example, parameters to help Rencong calculation Laos regulatory ?he у Pannuo bake ? the Fei Fanqiang E ?certificate Xian hand crepe Meeting ?Huoshe Mechanics distribution Kou ?

在启动Matlab的时候拍一张照片 记录每天的心情( Matlab when you start to shoot a photo Recorded daily mood)

随机森林算法的一个分类器，对随机森林得到的分类结果进行投票，选择最高概率的类别作为最终的投票结果。使用于土壤图斑分解，精细数字土壤制图。(Random Forest algorithm of a classifier, random forest classification results obtained to vote to choose the highest probability of category as the final voting results. Use polygon decomposition in soil, fine digital soil mapping.)

说明：  多元线性回归：MATLAB源程序多元线性回归(Multiple Linear Regression : MATLAB source multivariate linear regression)

这是小波变换工具箱，里面有小波变换相关的函数。如果正在学习小波变换MATLAB编程，希望对你有帮助。(This is the wavelet transform toolbox, which have wavelet transform related functions. If you are learning to transform MATLAB programming, want to help you.)

均值优化, LuminousLogic, Simple Mean-Variance Optimizer(Simple Mean-Variance Optimizer)

贝叶斯最小错误率分类器 用两列数据属性求二维正态分布 求后验概率分类(Bayesian minimum error rate sorter two columns of data attributes seeking seeking a two-dimensional normal posterior probability classification)

要求使用继电自整定方法对其实施自适应PID控制。 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (Require the use of relay tuning methods for its implementation of the adaptive PID control. 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

matlab实验教程，用于初学者学习matlab相关知识。(Experimental matlab tutorial for beginners to learn matlab relevant knowledge.)