代码搜索:Fitting

找到约 695 项符合「Fitting」的源代码

代码结果 695
www.eeworm.com/read/270432/11038702

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结
www.eeworm.com/read/450711/7477674

m testfit4.m

% generate test data: [s, t]=meshgrid([0:0.3:pi/2], [0:0.3:pi]); % create test data: a=10; b=8; c=6; xx=a*cos(s).*cos(t); yy=b*cos(s).*sin(t); zz=c*sin(s); % add testing noise: noiseInte
www.eeworm.com/read/447444/7551019

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结
www.eeworm.com/read/443857/7621744

res osr.res

******OPTIMAL SUBSET REGRESSION****** MEANS OF X AND Y 132.35 162.77 116.09 78.7711541.70 61.63 1ORDER REGRESSION SET
www.eeworm.com/read/443325/7634588

m dpoly.m

% 曲线拟合程序 function [xi,yi]=dpoly(n) x=0:0.1:1; y=[-.477 1.978 3.28 6.16 7.08 7.34 7.66 9.56 9.48 9.30 11.2]; p=polyfit(x,y,n); xi=linspace(0,1,100); yi=polyval(p,xi); plot(x,y,'-o',xi,yi,'--');
www.eeworm.com/read/439653/7703960

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结
www.eeworm.com/read/438370/7732051

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结
www.eeworm.com/read/197646/7983407

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结
www.eeworm.com/read/143198/12889697

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结
www.eeworm.com/read/142361/12950057

m exp2_15.m

%curve fitting of sin wave clc clear x=0:0.1:2*pi; %生成样本点x y=sin(x)+0.5*rand(size(x)); %生成样本点y,通过随机矩阵 p=polyfit(x,y,3) %拟合出多项式(3阶) y1=polyval(p,x); %求多项式的值 plot(x,y,'+',x,y1,'-r') %绘制多项式曲线,以验证结