Matlab-genetic-toolbox--application

HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。(HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classification model of tool kit, using Java language. Development of the program' s main purpose is to solve the model by Ball SVM instead of the traditional means of solving two classification problems on the classical SVM model to solve multi-classification problems. This article discusses the main implementation details of the program, including related algorithms and design principles are described.)

labvIEW环境下，与matlab混合编程的一个例子，是利用activex与matlab进行通信。(labvIEW environment, mixed with the matlab programming example is the use of activex communicate with matlab.)

利用非线性控制完成光伏并网逆变器的设计，设计中采用先进的反步法，介绍很好。(Using nonlinear control to complete the design of the photovoltaic (pv) grid inverter, adopted in the design of advanced reverse moves, the introduction is very good.)

matlab编写的802.11n的信道模型仿真(matlab prepared 802.11n channel model simulation)

2005年J.S.Smith提出的局域均值分解LMD(Local mean decomposition)的原始文献，该方法可用于故障诊断、特征提取、振动信号分析等多领域，是较EMD更为温和的一种自适应算法，目前是热门研究方法。(This is the original article about LMD——Local mean decompositon. Ihis method is a novel adaptive decomposition. It is more better than EMD and achieve more and more attention.)

给出一个逆变器具体的仿真实例，通过仿真 ，可以得出实际运行中的电压、电流的波形 (Give a concrete example of the simulation, the simulation can be drawn from the actual operation of the voltage and current waveforms)

matlab 的 am和dsb调制 先你得介绍 am 的调制的基本原理，解调的基本原理，这个书上肯定都有很多，你按照自己的理解重新再组织(Matlab am and DSB modulation first you have to introduce the basic principles of the AM modulation and demodulation of the basic principles, this book certainly has a lot of you according to their own understanding of re-organization)

永磁电机矢量控制matlab仿真，适合电驱动研究者(Matlab simulation of permanent magnet motor vector control for electrically driven researcher)

一个MATLAB GUI程序，可以方便地用来手动标记正训练样本和负训练样本。 —————————————————— 1.首先输入要标定的数据库目录、要存放正训练样本的目录、要存放负训练样本的目录 2.点击“开始”，程序自动依次显示数据库目录中的图片 3.点击“正例”或“反例”将会把当前图片复制到相应目录 4.可以在图片上点击拖动圈出一个区域，以截取圈出的区域作为样本 5.选中“约束选取比例”可以使得最终选取的样本有固定的大小(A matlab GUI program that can be used to label training samples manually. It contains rich functions)

说明：  数值分析 隐式算法改显示算法 非弹性分析(Numerical analysis implicit algorithm to display the elastic analysis algorithm)