Description: function [X,fval,exitflag,output,lambda]=quadprog(H,f,A,B,Aeq,Beq,lb,ub,X0,options,varargin)
％ X=QUADPROG(H,f,A,b) 求解二次规划:
％ min 0.5*x *H*x + f *x subject to: A*x <= b
％x=quadprog(H,f, A, b, Aeq, beq)求解二次规划：-function [X, fval, exitflag, output, lambda] = quadprog (H, f, A, B, Aeq, Beq, lb, ub, X0, options, varargin)% X = QUADPROG (H, f, A, b) solving quadratic programming : min 0.5%* H* x* x* x f subject to : A* x Platform: |
Size: 5120 |
Author:王志波 |
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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: SVM支持向量机。使用quadprog实现了SVM机器学习，把训练数据分成两组，找到决策面。-SVM Support Vector Machine. SVM achieved using quadprog machine learning, the training data into two groups, find decision-making surface. Platform: |
Size: 68608 |
Author:丁丁 |
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Description: 使用支持向量机进行非线性回归，得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式，
求解二次规划时调用了优化工具箱的quadprog函数。本函数在程序入口处对数据进行了
[-1,1]的归一化处理，所以计算得到的回归解析式的系数是针对归一化数据的，仿真测
试需使用与本函数配套的Regression函数。- Using non-linear support vector machine regression, nonlinear function y = f (x1, x2, ..., xn) support vector analytic, Optimization Toolbox quadprog call function when solving quadratic programming. The function of the data in the program carried out at the entrance [-1,1] of normalization, so the regression coefficients calculated analytical formula is for the normalization of data, simulation test test need to use this function supporting The Regression functions. Platform: |
Size: 2048 |
Author:luban |
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Description: 使用支持向量机进行非线性回归，得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式，
求解二次规划时调用了优化工具箱的quadprog函数。-Using support vector machine for nonlinear regression, nonlinear function y=f (X1,X2,...,Xn)-support vector analysis,
When solving the quadratic programming Optimization Toolbox quadprog function is called. Platform: |
Size: 2048 |
Author:王斌 |
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