搜索资源列表
svm_smo
- 基于SMO优化算法的SVM分类程序，显示判别函数值及分类结果-SMO optimization algorithm based on SVM classification program that displays the results of the discriminant function values and classification
svm
- svm 实现,经典的SMO算法，支持三种kernel（多项式，高斯，内积）。还有test 函数 -implmentation of svm
PMSM_SMO-(1)
- SMO无传感器控制永磁电机matlab 仿真-SMO sensorless control of IPMSM matlab simulation
EKF-SMO
- 一个永磁同步电机无传感器文章里面含有滑模控制和卡尔曼滤波-A permanent magnet synchronous motor mathematical model
SMOmodel
- 滑模观测器，可用于永磁同步电机无位置传感器的位置与速度的估计。-SMO can be used to estimate the position and speed of PMSM position sensor.
LibSMO
- sqlserver smo调用（获取数据库创建脚本及数据库的对象脚本）-Sqlserver call SMO (Access creation scr ipts and object scr ipts)
CSharpSMO
- delphi调用csharp的smo dll，（调用c#示例）-Delphi call CSharp SMO DLL, (called c# sample)
Robot-Single-arm-SMO-control
- 机器人单机械臂滑动模型控制源代码-基于干扰观测器的-Robot Single arm sliding mode control based on disturbance observer
My-Web-Sites
- nosto smo da bi se registovao
[elearnica.ir]-4b6b3e354eb48c4917d76defe9c1beea.r
- We consider the problem of tracking mu ltiple maneuvering targets in the presence of clutter u sing switch ing multiple target motion mo d els. A n ovel sub optimal fixed-lag smo othing algorithm is develop ed by applying the b asic interacting mul
exp2
- 滑模观测器仿真实例，有利于进行此项研究的朋友参考，实例中包含绘图功能，简洁直观-SMO simulation instance, conducive to the study of the reference to a friend, instance contains graphics, simple and intuitive! ! !
SMO
- 实现序贯最小优化算法，该算法可加速求解支持向量机问题-To achieve sequential minimal optimization algorithm that can accelerate the problem solving support vector machines
mysvm
- SVM,支持向量机，matlab 实现，具体实现了SMO算法，线性核，高斯核-SVM,support vector machine ,matlab implement m, In details ,implement SMO algorithm,linear kernel ,RBF kernel
SVR
- 这个是用SMO算法做的支持向量回归程序，语言是JAVA-This is done using the SMO support vector regression algorithm, language is JAVA
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
SMO_linnerTEST
- SMO算法实现线性分类，别的方法修改核函数即可 亲测有效-SMO algorithm for linear classification, other methods to modify the kernel Effective pro-test
smo
- Modelling of FIFO, LIFO and RR queues
simple_smo
- 这是简单的svm算法，实现其中的SMO部分，能够直接运行，可嵌入-This is a simple SVM algorithm, which can achieve the SMO part, can be directly run, can be embedded
svmMLiA
- 支持向量机是最常用的一种分类器，它通过求解一个二次优化问题来最大化分类间隔，本例采用的SMO算法，可以大大优化运行-Support vector machine is the most commonly used classifier, it can be used to solve a two optimization problem to maximize the classification interval, this example uses the SMO algorithm, ca
Simons-Windows-8-UI-Demo
- win8 labview SMO结构的UI-win8 labview SMO UI