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/386034/8770546
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/384416/8871779
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/179152/9368158
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/177691/9440221
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/372266/9514657
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/372259/9515110
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/371640/9543589
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/362596/9989346
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/355530/10258991
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/355063/10298060
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