hangjifenxi

病虫害分类用,用来进行病害虫分类的MATLAB程序(Pest and disease classification used, the classification used for pest MATLAB program)

对传统LMS算法的改进，它的步长是变化的，这样更能自适应地调整权值，因而性能比一般的LMS算法更优！(It is the improving Traditional LMS algorithm and its step size is changing every time, so it can better adapt to adjust the weights, thus the performance of this algorithm is better than the previous LMS algorithm !)

HCircle问题求解算法, 程序, 源码, 采用Matlab实现(HCircle problem solving algorithm, program, source code, using Matlab Implementation)

对matlab有详细讲解，知识点全面，特别是例程特别多。相信大家都知道学这个主要就是看程序，别的都是浮云。(Right matlab detailed explanations, a comprehensive knowledge points, especially the routine is particularly high. I believe we all know that learning is to see this major program, other are floating clouds.)

本书是一本数值线性代数的导论性著作，作者深刻阐述了数值代数的基本思想，加上他们清新、引人入胜的写作风格，使得本书成为本领域的经典之作(This book is an introductory numerical linear algebra book, the author expounded the basic idea of numerical algebra, together with their fresh, engaging writing style makes this book a classic in the field)

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

基于图和半监督的学习方法 graph-based and semi-supervised learnign(graph-based and semi-supervised learning)

一般情况下，我们都是在MATLAB命令行或DOS命令行下编译MEX程序。 所用的命令就是：mex filename.c 这有很多不方便的地方： a. 虽然mex也可以编译C++的mex程序，但是它的主框架仍是C的 a. 当程序有多个模块时，需要多次使用mex命令，操作很麻烦 b. 不能利用VC特有的ClassWizard自动创建和维护类 c. 不能用MFC类库编写应用程序 d. 不能方便地进行类似VC的项目管理 本文详细解说如何在IDE中编译MEX程序(Under normal circumstances, we are all in the MATLAB command line or DOS command line program to compile MEX. Command is used by: mex filename.c This has a lot of inconvenient places: a. Although the mex can also compile C++ The mex program, but it is still the main frame C of a. When the procedure has a number of modules the need to repeatedly use the mex command, the operation is cumbersome b. Can not use VC-specific ClassWizard automatically create and maintain the category c. can not use MFC class library to write applications easily d. should not conduct a similar project management VC a detailed explanation of how this article IDE compiling MEX procedures)

阈值迭代分割图像，可以为研究迭代法朋友们提供一定帮助。(Iterative image segmentation threshold can be friends for the study iterative methods provide some help.)

Modeling crack growth in a traditional finite element framework is a challenging engineering task. Originally the finite element framework was modified to accommodate the discontinuities that are caused by phenomena such as cracks, inclusions and voids. The finite element framework is not well suited for modeling crack growth because the domain of interest is defined by the mesh. At each increment of crack growth, at least the domain surrounding the crack tip must be remeshed such that the updated crack geometry is accurately represented.