Description: 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting Platform: |
Size: 1483776 |
Author:张毅 |
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Description: svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc. Platform: |
Size: 228352 |
Author:孟祥 |
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Description: This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data. Platform: |
Size: 260096 |
Author:SUNGWOONG KIM |
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Description: 利用polynomial order kernel function来秀出SVM执行时可能产生出来的错误并汇图表示-Use of polynomial order kernel function to SVM showed off that may arise out of implementation errors and exchange graph Platform: |
Size: 15360 |
Author:Steve Evan |
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Description: 最小二乘支持向量 MATLAB源码 有说明-The SVM can
be seen as a method of training polynomial, radial basis function,
or multilayer perception classifiers, in which the weights
of the network are found by solving a quadratic programming (QP) problem with linear inequality and equality constraints. Platform: |
Size: 928768 |
Author:郭乐 |
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Description: 本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度-a MATLAB (M-file) program to compute the
discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM with the linear kernel, A hard-margin SVM with a polynomial kernel, A soft-margin SVM with a polynomial kernel as given above Platform: |
Size: 1382400 |
Author:hyz |
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Description: SVM Light工具箱 Matlab接口，已经编译好，可直接用(SVMlight, by Joachims, is one of the most widely used SVM classification and regression package. It has a fast optimization algorithm, can be applied to very large datasets, and has a very efficient implementation of the leave-one-out cross-validation. Distributed as C++ source and binaries for Linux, Windows, Cygwin, and Solaris. Kernels: polynomial, radial basis function, and neural (tanh).) Platform: |
Size: 66560 |
Author:ym89413
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Search - svm polynomial matlab