利用模拟退火解决旅行商问题。matlab，程序。其中zhixing.m是可运行的主程序，注释详细，可自己改参数进行对算法理解。

《MATLAB工程数据分析》全书打包下载（含光盘源程序）

利用MATLAB编写程序识别电动汽车车牌并使用自动充电车充电的方案 仍有优化的余地

用MATLAB计算受迫振动程序 clear all %sy196.m xc=dsolve('D2x+2*b*Dx+w0^2*x+h*cos(wc*t)=0','Dx(0)=0,x(0)=A','t'); w0=0.3*pi; b=0.1; A=0.2; h=0.4; t=linspace(0,100,1000); i=1; for k=0.1:0.01:2.5 % k=wc/w0 驱动频率与固有频率之比 r(i)=k; wc=k*w0; xc1=eval(xc); a(i)=max(real(xc1)); i=i+1; end subplot(2,1,1) %画受迫振动振幅与频率比之间的关系曲线 plot(r,a，’.-r’) subplot(2,1,2) %画受迫振动曲线 plot(t,xc1,'-b',t,0,'-r')

可以把需要存储的图像转换成很多格式，并且图像内容可以自己调整大小

This book is written for two kinds of readers. The first type of reader is one who plans to study Deep Learning in a systematic approach for further research and development. This reader should read all the content from the beginning to end. The example code will be especially helpful for further understanding the concepts. A good deal of effort has been made to construct adequate examples and implement them. The code examples are constructed to be easy to read and understand. They are written in MATLAB for better legibility. There is no better programming language than MATLAB at being able to handle the matrices of Deep Learning in a simple and intuitive manner. The example code uses only basic functions and grammar, so that even those who are not familiar with MATLAB can easily understand the concepts. For those who are familiar with programming, the example code may be easier to understand than the text of this book. The other kind of reader is one who wants more in-depth information about Deep Learning than what can be obtained from magazines or newspapers, yet doesn’t want to study formally. These readers can skip the example code and briefly go over the explanations of the concepts. Such readers may especially want to skip the learning rules of the neural network.

可将txt文件转换为matlab文件，以方便在matlab跑程序的时候使用。操作简单。

目标检测，matlab，光流法 亲测可用

BP_RBF_matlab，测试

主要功能：数字图像处理Visual C++实现里详细地介绍数字图像处理如何在Visual C++下实现的，对于学习数字图像处理人员非常有帮助。