蚁群算法及MATLAB程序(详细)

用matlab实现灰色序列预测GM(1,1)，其中级比的判断采用手工判断。(Using matlab to achieve gray sequence prediction GM (1,1), one class than the judge to determine manually.)

1-32是：图形应用篇33-66是：界面设计篇67-84是：图形处理篇85-100是：数值分析篇(1-32 are: graphics applications, articles 33-66 are: interface design articles 67-84 are: graphics processing chapter 85-100 are: Numerical Analysis Section)

说明：  基于matlab的EMD分解算法的源代码，可用于脉搏分析(The EMD-based decomposition algorithm matlab source code can be used for pulse analysis)

《MATLAB7.0从入门到精通》对MATLAB 7.0进行了详细的介绍，力求做到细致全面。全书共分为15章。前5章是有关MATLAB的基础知识，包括MATLAB的安装、卸载及系统功能的简述，MATLAB的数学运算和数据可视化工具以及MATLAB的编程等内容。第6章～第9章是MATLAB的高级应用部分，分别介绍了MATLAB 7.0的数据分析和处理功能，符号计算功能，Simulink仿真环境和文件I/O操作。第10章～第12章和第14章介绍了信号处理工具箱、图像处理工具箱和编译工具箱以及应用广泛的高级图形设计。第13章、第15章介绍了MATLAB的外围功能，包括与Word、Excel的混合使用和MATLAB的应用程序接口。附录部分列出了常用命令和函数，Simulink的库模块和应用程序接口函数库。( MATLAB7.0 entry to the proficient on MATLAB 7.0 for a detailed description, and strive to achieve a comprehensive and detailed. The book is divided into 15 chapters. The first five chapters are on MATLAB basics, including MATLAB installation, uninstallation and brief system functions, MATLAB math and data visualization tools, and MATLAB programming and other content. Chapter 6- Chapter 9 is an advanced application part of MATLAB, introduced the data analysis and processing functions in MATLAB 7.0, symbolic computation capabilities, Simulink simulation environment, and file I/O operations. Chapter 10 ~ 12 Chapter 14 describes the Signal Processing Toolbox, Image Processing Toolbox and compilation toolkit and widely senior graphic design. Chapter 13, Chapter 15 describes the peripheral functions of MATLAB, including Word, Excel, and MATLAB mixed use application interface. The appendix lists the common commands and functions, Simulink library modules and application program interface l)

粗糙集属性约简代码，可以运行，可以运用到不同场合，可作为参考(Rough set attribute reduction code can run, can be applied to different occasions, can be used as reference)

说明：  课题作业，模拟了刚体的运动，以实现类似机器人的避障功能(The class assignments in the class simulate the rigid body movement to achieve a robot-like obstacle avoidance function)

经典的短波信道模拟程序——wattson模型，比较好用，适当设置参数(Classic short-wave channel simulation program- wattson model, easy to use, the appropriate parameter settings)

本程序是基于bp神经网络的分类程序 开发环境是matlab(matlab)

交织源程序，卷积交织，分块交织，级联交织等(Interwoven source code, convolutional interleaving, block intertwined, interwoven cascade)

Bar code management, can the compilation