那位高手能用matlab帮我求一下下面两列数字绘出的曲线的拟合方程啊?不胜感激!数字按行左右对应.0.97720.0323622.24110.1019013.69880.2288694.66520.3393025.62590.4659397.05370.6784687.52560.7573589.38861.08039511.6521.5
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![那位高手能用matlab帮我求一下下面两列数字绘出的曲线的拟合方程啊?不胜感激!数字按行左右对应.0.97720.0323622.24110.1019013.69880.2288694.66520.3393025.62590.4659397.05370.6784687.52560.7573589.38861.08039511.6521.5](/uploads/image/z/13895574-6-4.jpg?t=%E9%82%A3%E4%BD%8D%E9%AB%98%E6%89%8B%E8%83%BD%E7%94%A8matlab%E5%B8%AE%E6%88%91%E6%B1%82%E4%B8%80%E4%B8%8B%E4%B8%8B%E9%9D%A2%E4%B8%A4%E5%88%97%E6%95%B0%E5%AD%97%E7%BB%98%E5%87%BA%E7%9A%84%E6%9B%B2%E7%BA%BF%E7%9A%84%E6%8B%9F%E5%90%88%E6%96%B9%E7%A8%8B%E5%95%8A%3F%E4%B8%8D%E8%83%9C%E6%84%9F%E6%BF%80%21%E6%95%B0%E5%AD%97%E6%8C%89%E8%A1%8C%E5%B7%A6%E5%8F%B3%E5%AF%B9%E5%BA%94.0.97720.0323622.24110.1019013.69880.2288694.66520.3393025.62590.4659397.05370.6784687.52560.7573589.38861.08039511.6521.5)
那位高手能用matlab帮我求一下下面两列数字绘出的曲线的拟合方程啊?不胜感激!数字按行左右对应.0.97720.0323622.24110.1019013.69880.2288694.66520.3393025.62590.4659397.05370.6784687.52560.7573589.38861.08039511.6521.5
那位高手能用matlab帮我求一下下面两列数字绘出的曲线的拟合方程啊?不胜感激!数字按行左右对应.
0.97720.0323622.24110.1019013.69880.2288694.66520.3393025.62590.4659397.05370.6784687.52560.7573589.38861.08039511.6521.544076
0.9772,0.032362\2.2411,0.101901\3.6988,0.228869\4.6652,0.339302\5.6259,0.465939\7.0537,0.678468\7.5256,0.757358\9.3886,1.080395\11.652,1.544076
每两个数字一组,谢谢!你好,是不是把下面的数据公式输入METLAB的命令行里?
那位高手能用matlab帮我求一下下面两列数字绘出的曲线的拟合方程啊?不胜感激!数字按行左右对应.0.97720.0323622.24110.1019013.69880.2288694.66520.3393025.62590.4659397.05370.6784687.52560.7573589.38861.08039511.6521.5
x = [0.9772 2.2411 3.6988 4.6652 5.6259 7.0537 7.5256 9.3886 11.652];
y = [0.032362 0.101901 0.228869 0.339302 0.465939 0.678468 0.757358 1.080395 1.544076];
p = polyfit(x,y,3);
xx = min(x):.1:max(x);
yy = polyval(p,xx);
plot(x,y,'bo'); hold on;
plot(xx,yy,'r-'); hold off;
grid on;
legend('原始数据点','拟合曲线','Location','NorthWest');
>>X = [0.9772 2.2411 3.6988 4.6652 5.6259 7.0537 7.5256 9.3886 11.652];
>>Y = [0.032362 0.101901 0.228869 0.339302 0.465939 0.678468 0.757358 1.080395 1.544076];
>>cftool
Linear model Poly...
全部展开
>>X = [0.9772 2.2411 3.6988 4.6652 5.6259 7.0537 7.5256 9.3886 11.652];
>>Y = [0.032362 0.101901 0.228869 0.339302 0.465939 0.678468 0.757358 1.080395 1.544076];
>>cftool
Linear model Poly2:
f(x) = p1*x^2 + p2*x + p3
where x is normalized by mean 5.87 and std 3.415
Coefficients (with 95% confidence bounds):
p1 = 0.09164 (0.08291, 0.1004)
p2 = 0.4656 (0.4569, 0.4743)
p3 = 0.4995 (0.4883, 0.5107)
Goodness of fit:
SSE: 0.0005821
R-square: 0.9997
Adjusted R-square: 0.9996
RMSE: 0.00985
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