FlowerCBIR-master

说明：  MATLAB的向量矩阵运算，可以了解矩阵和向量在MATLAB中的用法。(MATLAB' s vector matrix operations, matrix and vector can understand the usage in MATLAB.)

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本书面向MATLAB 的初中级读者，在介绍MATLAB R2014a 集成环境的基础上，对MATLAB 使用中常用的知识和工具进行了详细的介绍，书中各章均提供了大量有针对性的算例，供读者实战练习。 根据内容的侧重点不同，全书分为4 部分共20 章：第1～5 章为基础部分，讲解MATLAB R2014a 概述、MATLAB 基础知识、数组与矩阵、MATLAB 编程基础及数据可视化等；第6～8 章为数学应用部分，讲解数据分析、符号数学计算和概率统计等；第9～15 章为工程应用部分，讲解偏微分方程、优化、图像处理、信号处理、小波分析等工具箱，Simulink 仿真基础及应用等；第16～20 章为知识拓展部分，讲解句柄图形对象、图形用户界面、文件读取I/O、MATLAB 编译器和外部接口应用介绍等内容。为了使用户能够更好地操作MATLAB，本书中示例的命令已记录在M 文件及其他相关文件中，用户可以将相关的目录设置为工作目录，直接使用M 文件进行操作，以便快速掌握MATLAB 的使用方法。(This book is for the middle-class readers MATLAB, MATLAB R2014a based on the introduction of the integrated environment, the use of MATLAB common knowledge and tools are described in detail in the book each chapter offers a lot of targeted studies, for Readers combat exercises. Depending on the focus of the content, the book of 20 chapters divided into 4 parts: 1 to 5 for the basic part, explain MATLAB R2014a overview, MATLAB basics, arrays and matrices, MATLAB Programming Fundamentals and data visualization 6-8 Chapter mathematical application part, explain the data analysis, symbolic math and probability and statistics 9 to 15 for the engineering part, explain the partial differential equations, optimization, image processing, signal processing, wavelet analysis toolbox, Simulink Simulation Fundamentals and applications 16 to 20 chapters expand knowledge part, explain handles graphic objects, the graphical user interface, file read I/O, MATLAB Compiler, and an external interface a)

elman神经网络的matlab程序,运算时间短,程序简单(Elman neural network matlab procedures, computing time is short, simple procedures)

说明：  This file contains the matlab source of multi agent system control , and cooperative control.

Matlab与C混合编程实现Type2模糊系统，文献资料(Matlab and C mixed programming Type2 fuzzy systems, literature)

public class SmilRegionMediaElementImpl extends SmilMediaElementImpl implements.

andrew patton 在写论文时所用到的一些copula函数以及相关程序(andrew patton some of the copula function used to write papers and related procedures)

以matlab为工具利用数字图像处理技术对答题卡进行了识别，并对识别结果进行了处理。注意到答题卡在采集图像的过程中由于各种原因可能会产生图像倾斜、水平或垂直错位，要进行正确识别首先必须对其进行校正，再依据像素检索技术进行识别。(With MATLAB as the tool, the answer card is identified by digital image processing technology, and the recognition results are processed. It is noted that the answer card in the process of collecting images may cause image tilt, horizontal or vertical dislocation for various reasons. To correct recognition, it is necessary to correct it first and then identify it according to the pixel retrieval technique.)

Generates a sample for an arima model