matlab r2012b插值拟合问题测得0~7点的温度:12,9,9,10,18,24,281,分别用插值和拟合推测0~7点没15分钟间隔的温度,比较平方误差.2,拟合出8点的温度.
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![matlab r2012b插值拟合问题测得0~7点的温度:12,9,9,10,18,24,281,分别用插值和拟合推测0~7点没15分钟间隔的温度,比较平方误差.2,拟合出8点的温度.](/uploads/image/z/6126724-28-4.jpg?t=matlab+r2012b%E6%8F%92%E5%80%BC%E6%8B%9F%E5%90%88%E9%97%AE%E9%A2%98%E6%B5%8B%E5%BE%970%7E7%E7%82%B9%E7%9A%84%E6%B8%A9%E5%BA%A6%EF%BC%9A12%2C9%2C9%2C10%2C18%2C24%2C281%2C%E5%88%86%E5%88%AB%E7%94%A8%E6%8F%92%E5%80%BC%E5%92%8C%E6%8B%9F%E5%90%88%E6%8E%A8%E6%B5%8B0%7E7%E7%82%B9%E6%B2%A115%E5%88%86%E9%92%9F%E9%97%B4%E9%9A%94%E7%9A%84%E6%B8%A9%E5%BA%A6%2C%E6%AF%94%E8%BE%83%E5%B9%B3%E6%96%B9%E8%AF%AF%E5%B7%AE.2%2C%E6%8B%9F%E5%90%88%E5%87%BA8%E7%82%B9%E7%9A%84%E6%B8%A9%E5%BA%A6.)
matlab r2012b插值拟合问题测得0~7点的温度:12,9,9,10,18,24,281,分别用插值和拟合推测0~7点没15分钟间隔的温度,比较平方误差.2,拟合出8点的温度.
matlab r2012b插值拟合问题
测得0~7点的温度:12,9,9,10,18,24,28
1,分别用插值和拟合推测0~7点没15分钟间隔的温度,比较平方误差.
2,拟合出8点的温度.
matlab r2012b插值拟合问题测得0~7点的温度:12,9,9,10,18,24,281,分别用插值和拟合推测0~7点没15分钟间隔的温度,比较平方误差.2,拟合出8点的温度.
x = (1:7);
y = [12,9,9,10,18,24,28];
xi = 0:0.25:8;
% [b,bint,r,rint,stats]= regress(y,x);
n=3;
p=polyfit(x,y,n);
z=polyval(p,xi); %多项式拟合
zi=interp1(x,y,xi,'spline'); %三次样条插值
subplot(2,2,1);plot(y,'x');title('初始值');
subplot(2,2,2);plot(y);title('初始值');
subplot(2,2,3);plot(z);title('拟合');
subplot(2,2,4);plot(zi);title('插值');
disp('拟合平方误差')
errz = sum((z(5:4:29)-y).^2);
disp(errz);
disp('插值平方误差')
errzi = sum((zi(5:4:29)-y).^2);
disp(errzi);
disp('拟合得8点的温度')
disp(z(33));
拟合平方误差
6.1429
插值平方误差
0
拟合得8点的温度
31.4286