How to predict using interpolation or polyfit
13 次查看(过去 30 天)
显示 更早的评论
Hi, I have data as below:
x y 1.2 2.3 4.8 2.7 5.8 3.5
and I want to predict for x is 2.7, what is y? Many thanks in advance,
1 个评论
采纳的回答
Akira Agata
2017-9-13
...Or polyfit function, like:
xy = [1.2, 2.3;
4.8, 2.7;
5.8, 3.5];
p = polyfit(xy(:,1), xy(:,2), 2);
x = linspace(0,6);
y = polyval(p, x);
figure
plot(xy(:,1), xy(:,2),'ro');
hold on;
plot(x,y,'b:');
plot(2.7, polyval(p, 2.7), 'bo');
legend({'Data','polyfit','estimated value at x = 2.7'});

0 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Gaussian Process Regression 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!