matlab

说明：  参考文件MAT-FILE打包下载visualC加加MATLAB(MAT-FILE)

Antenna Design for array of dipole

double pendulum simulation in matlab

这是改进的蚁群算法，比传统的蚁群算法更简易，图像分割速度也快很多！(This is the improved ant colony algorithm, more than the traditional simple ant colony algorithm, image segmentation speed is much faster!)

psat 39节点数据 39节点数据 39节点数据 39节点数据 (psat 39)

球头刀铣削，铣削力的计算及切削力图形绘制。(Ball milling cutter, the milling force and cutting force calculation graphics rendering.)

《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)

DblGEGA 用双切点遗传优化求解一维无约束优化问题 (DblGEGA with double tangent point genetic optimization one-dimensional unconstrained optimization problems)

说明：  matlab编写的粒子群优化算法，相当的好用，本人的压箱底的东西(matlab PSO prepared, very easy to use, what my bottom pressure)

本文提出一种新的智能故障诊断方法,基于统计分析,提出了一种改进的距离的评价技术和适应性类神经模糊推论系统(简称ANFIS)。该方法包括三个阶段。　(This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference system (ANFIS). The approach consists of three stages. First, different features, including time-domain statistical characteristics, frequency-domain statistical characteristics and empirical mode decomposition (EMD) energy)