Simplex-method

说明：  算法实现图论中D算法，与以往代码不同之处是结果以图形的方式给出(Algorithm D algorithm in graph theory, the difference between the previous code is the way the results are given in graphical)

网上查找的关于决策树的matlab代码，可与参考参考(Tree on the Internet to find the matlab code, with REFERENCES)

程序采用的是两层循环上实现位移谱的求取。内循环实现在地震波下由上一步所得到的位移、速度和加速度得到下一时间间隔后的位移速度和加速度；外循环实现在不同结构自振周期（频率）下遭遇地震波的响应。(Program uses a two-layer loop on calculate displacement spectra. Cycle based on seismic waves obtained the previous step under the displacement, velocity and acceleration are next after the interval velocity and Acceleration outer loop implementation in different natural period of structure (frequency) the response under earthquake wave.)

国外网站上下载的例子滤波讲稿，帮助新手系统学习例子滤波知识(Foreign website and download the example filter script, learn examples of filtering system to help novice knowledge)

ms05016分析及测试代码!!!!!!!!!!!!!!!!!!!!1(ms05016 analysis and testing the code !!!!!!!!!!!!!!!!!!!! 1)

说明：   用MATLAB编写的FFT程序，(MATLAB prepared by the FFT procedures,)

一些基本的matlab编程实验及程序，用MATLAB进行信号与系统分析，信号与系统的数值化处理，工程应用基石：函数与工具箱(Some basic matlab programming experiments and procedures, numerical processing of signals and systems analysis, signals and systems using MATLAB, the cornerstone of engineering applications: function and toolbox)

trust_region求解约束优化问题 This trust region algorithm incorporates bound constraintstogether with an ellipsoidal trust region( This trust region algorithm incorporates bound constraintstogether with an ellipsoidal trust region)

将线性模型拟合为线性或二次数据。 它是一个演示线性回归的脚本。 有益于学习(Fit a linear model to linear or quadratic data)

说明：  文件传输限制分多次上传，其他文件可以查看我的上传资料 本实验使用matlab神经网络工具箱搭建CNN网络实现手写字识别，里面附数据集和训练好的网络，准确率可达99%。 1.打开matlab2018 2.将路径设置为当前文件所在路径 3.直接运行test7_run.m即可得到网络在测试集里的准确率以及分类错误的样本。 test7_cnn_hwr.m：训练的程序 test7_run.m：测试测试集的代码，直接读取存储在net_trained.mat训练好的网络， 对测试样本进行分类，统计准确率。(In this experiment, we use matlab neural network toolbox to build CNN network to realize handwritten word recognition, which is attached with data set and trained network, with an accuracy of 99%.)