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
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
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
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! ! !
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
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
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
SVM
- 支持向量机分类程序，使用高斯核函数，SMO顺序最优化算法，为学习SVM提供参考-SVM program, using a Gaussian kernel, SMO sequence optimization algorithm to provide a reference for learning SVM
libsvm-3.1
- LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-ty
libsvm-3.22
- libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it impl
Gaussian-Kernal-Classification
- Gaussian Kernal Classification svmtrain(sd,Y, Kernel_Function , rbf , rbf_sigma ,0.6, method , SMO , showplot ,true)
513093
- C++编写的SMO算法实现！和大家共同分享！()
764581
- 简单介绍了svm算法,然后提出了改进算法smo,在数学及算法,代码方面都给出了论证,()
type
- 简单介绍了svm算法,然后提出了改进算法smo,在数学及算法,代码方面都给出了论证,()
NZHMBPR0
- C++编写的SMO算法实现！和大家共同分享！()
svmjs-master
- Support Vector Machine in Javascr ipt (SMO algorithm, supports arbitrary kernels) + GUI demo
PMSM_SMO
- 永磁同步电机的滑模控制，效果很好，亲测有效(SMC of Permanent Magnet Synchronous Motor (PMSM) has good effect and is effective for personal measurement.)