matlab拟合x=[0,1,1.5,2,3,25];y=[1,0.93,0.88,0.82,0.74,0.002];对
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matlab拟合
x=[0,1,1.5,2,3,25];
y=[1,0.93,0.88,0.82,0.74,0.002];
对此进行高斯拟合,并求出拟合后对就6.11与3.4处的x点的值
x=[0,1,1.5,2,3,25];
y=[1,0.93,0.88,0.82,0.74,0.002];
对此进行高斯拟合,并求出拟合后对就6.11与3.4处的x点的值
![matlab拟合x=[0,1,1.5,2,3,25];y=[1,0.93,0.88,0.82,0.74,0.002];对](/uploads/image/z/1213297-25-7.jpg?t=matlab%E6%8B%9F%E5%90%88x%3D%5B0%2C1%2C1.5%2C2%2C3%2C25%5D%3By%3D%5B1%2C0.93%2C0.88%2C0.82%2C0.74%2C0.002%5D%3B%E5%AF%B9)
x=[0,1,1.5,2,3,25]';
>> y=[1,0.93,0.88,0.82,0.74,0.002]';
>> xx=fit(x,y,'gauss1','MaxIter',1000)
xx =
General model Gauss1:
xx(x) = a1*exp(-((x-b1)/c1)^2)
Coefficients (with 95% confidence bounds):
a1 = 1.158 (0.711,1.605)
b1 = -3.88 (-11.68,3.923)
c1 = 10.22 (2.691,17.74)
>> xx(6.11)
ans =
0.4452
>> xx(3.4)
ans =
0.6971
>> y=[1,0.93,0.88,0.82,0.74,0.002]';
>> xx=fit(x,y,'gauss1','MaxIter',1000)
xx =
General model Gauss1:
xx(x) = a1*exp(-((x-b1)/c1)^2)
Coefficients (with 95% confidence bounds):
a1 = 1.158 (0.711,1.605)
b1 = -3.88 (-11.68,3.923)
c1 = 10.22 (2.691,17.74)
>> xx(6.11)
ans =
0.4452
>> xx(3.4)
ans =
0.6971
matlab拟合x=[0,1,1.5,2,3,25];y=[1,0.93,0.88,0.82,0.74,0.002];对
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