怎么用MATLAB建立数据间的函数关系
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共3个回答
热心网友
可以使用Matlab自带的sftool工具箱，来拟合。举例说明其求解方法：
在命令窗口下，输入
>> x=[565.454 562.058 561.39 563.782 567.941 571.255 571.938 569.5];
>> y=[528.012 525.544 521.447 518.108 517.407 519.857 523.953 527.356];
>> z=[1.792 1.818 1.783 1.769 1.772 1.77 1.794 1.794];
>> sftool
选择“Polynomia”l项，x的Degrees为1，y的Degrees为3
在Results窗口就会出现，你要的结果。
Linear model Poly13:
f(x,y) = p00 + p10*x + p01*y + p11*x*y + p02*y^2 + p12*x*y^2 + p03*y^3
where x is normalized by mean 566.7 and std 4.095
and where y is normalized by mean 522.7 and std 4.111
Coefficients (with 95% confidence bounds):
p00 = 1.792 (1.759, 1.826)
p10 = -0.003984 (-0.03342, 0.02545)
p01 = 0.03654 (-0.02917, 0.1022)
p11 = -0.0046 (-0.03621, 0.02692)
p02 = -0.006507 (-0.03792, 0.0249)
p12 = -0.0003025 (-0.04791, 0.04731)
p03 = -0.01791 (-0.06526, 0.02944)
Goodness of fit:
SSE: 1.885e-005 剩余平方和
R-square: 0.9903
Adjusted R-square: 0.9318 相关系数
RMSE: 0.004342 剩余标准差
热心网友
polyfit， 先看图形走势。追问点是散乱的怎么办？
热心网友
regress命令，具体用法可以百度看看...
