搜索资源列表
SVMstudy
- 支持向量机学习的经典程序,希望对大家有用-Support vector machine learning classical procedures, in the hope that useful
vectorr
- 支持向量机（SVM）的一些相关MATLAB程序-Support Vector Machine (SVM) of some relevant MATLAB program
SVM
- 应用于matlab支持向量机svm的工具箱-Applies to support vector machine SVM matlab toolbox
visualgestures-1.0-alpha1.tar
- 基于Hu矩和支持向量机手完整性检测算法及应用.手势识别-Based on Hu Moments and Support Vector Machine hands detection algorithm and application integrity. Gesture Recognition
mtl4-alpha-1-r6418
- 矩阵运算源码最新版本，支持矩阵乘法、转置求逆，特征值特征向量等操作。-Source the latest version of matrix operations in support of matrix multiplication, transpose inverse, eigenvalue eigenvector and so on.
zhichixiangliangjifenlei
- 基于支持向量机的分类方法，主要用于模式识别。-Based on support vector machine classification methods, mainly used for pattern recognition.
libsvm
- a Library for Support Vector Machines 支持向量机的公式原理的介绍-a Library for Support Vector Machines SVM principle formula introduced
smo
- SMO 源程序基于libsvm，开发的支持向量机图形界面应用程序，并提供了关于C和sigma的新的参数选择方法，使得SVM的使用更加简单直观 -SMO Code
12svm
- 自编支持向量机程序，求解速度较快，用户可自己设置径向基函数。-Self-support vector machine procedures, faster to solve, the user can set up their own radial basis function.
SVMmatlab
- 用matlab实现支持向量机的程序,欢迎大家提出宝贵意见-Realize with matlab support vector machine procedures, welcome to everyone for their valuable views
libsvm
- Java语言实现的支持向量机的源码。对研究人工智能的朋友有用。-Java language support vector machine source.
SVM_nuclear_assembly_MATLAB_function
- 用MATLAB来实现支持向量机SVM和核函数的程序集-Support Vector Machine SVM and nuclear assembly MATLAB function. Rar
partitionwithNID
- partition的加强版 支持向量机源码 数据挖掘的一个改进算法-partition NDI
SVM_toolbox01
- 支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
rbf_svm
- 人工神经网络(ANN)的泛化特性是神经网络最重要的特性,同时也是最不容易保证的特性。本程序对改进泛化的神经网络算法以及新兴的机器学习算法——支持向量机算法进行研究,-Artificial Neural Network (ANN) the generalization characteristics of neural networks are the most important characteristics, but also not easy to guarantee the most f
poly_svm
- 核函数是利用支持向量机解决不可分问题时引入的一种非线性变换的手段。基本思想是通过非线性变换，使样本变换之后的特征空间中变得线性可分。然后利用线性可分时构造最优超平面的方法，在特征空间中实现最优超平面的求解。-Kernel function is the use of support vector machine to resolve the issue can not be separated from the introduction of a nonlinear transform mean
zongsu
- 一些辨识方法的综述文献，包括神经网络，模糊和支持向量机，对于需要进行辨识研究的同学有帮助-Some identification method for the synthesis of literature, including neural networks, fuzzy and Support Vector Machine, for the need for identification of studies have classmates assist
SVM
- 多篇关于支持向量机参考文献，大家可以参考-Many articles about support vector machine references can refer to U.S.
Ho_Kashyap
- Ho—Kashyap线性分类算法（MHKS）采用了支持向量机最大化间隔的思想,利用面向矩阵模式的双边正则化实现线性分类。-Ho-Kashyap linear classification algorithm (MHKS) using support vector machine to maximize the spacing of the idea, using matrix model for bilateral Regularization achieve linear classifica
LS_SVMs
- 支持向量机在变压器故障分析中的应用 是一种优于神经网络的算法-SVM