作业帮请教matlab高手,线性拟合t=[0 1 2 3 8 10]c=[0 2 3.3 4.6 6.2 6.3]ln(Cs-c)=-Kla*t+b拟合后,把代码发过来,
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![请教matlab高手,线性拟合t=[0 1 2 3 8 10]c=[0 2 3.3 4.6 6.2 6.3]ln(Cs-c)=-Kla*t+b拟合后,把代码发过来,](/uploads/image/z/8795786-50-6.jpg?t=%E8%AF%B7%E6%95%99matlab%E9%AB%98%E6%89%8B%2C%E7%BA%BF%E6%80%A7%E6%8B%9F%E5%90%88t%3D%5B0+1+2+3+8+10%5Dc%3D%5B0+2+3.3+4.6+6.2+6.3%5Dln%28Cs-c%29%3D-Kla%2At%2Bb%E6%8B%9F%E5%90%88%E5%90%8E%2C%E6%8A%8A%E4%BB%A3%E7%A0%81%E5%8F%91%E8%BF%87%E6%9D%A5%2C)
请教matlab高手,线性拟合t=[0 1 2 3 8 10]c=[0 2 3.3 4.6 6.2 6.3]ln(Cs-c)=-Kla*t+b拟合后,把代码发过来,
请教matlab高手,线性拟合
t=[0 1 2 3 8 10]
c=[0 2 3.3 4.6 6.2 6.3]
ln(Cs-c)=-Kla*t+b
拟合后,把代码发过来,
请教matlab高手,线性拟合t=[0 1 2 3 8 10]c=[0 2 3.3 4.6 6.2 6.3]ln(Cs-c)=-Kla*t+b拟合后,把代码发过来,
t=[0 1 2 3 8 10]';
c=[0 2 3.3 4.6 6.2 6.3]';
ft_ = fittype('Cs-exp(-k*t+b)',...
'dependent',{'c'},'independent',{'t'},...
'coefficients',{'Cs', 'k', 'b'});
st=[2 1 1]
[curve, goodness]= fit(t,c,ft_,'Startpoint',st)
figure
plot(curve,'predobs',0.95);
hold on,plot(t,c,'b*')
---------
curve =
General model:
curve(t) = Cs-exp(-k*t+b)
Coefficients (with 95% confidence bounds):
Cs = 6.488 (6.059, 6.917)
k = 0.383 (0.302, 0.4639)
b = 1.876 (1.792, 1.96)
goodness =
sse: 0.0617
rsquare: 0.9980
dfe: 3
adjrsquare: 0.9966
rmse: 0.1434