完善一下该代码x=1:1:19; y=[0.898,2.38,3.07,1.84,2.02,1.94,2.22,2.77,4.02,4.76,5.46,6.53,10.9,16.5,22.5,35.7,50.6,61.6,81.8]; plot(x,y,'o'); hold on; z=log(y); p=polyfit(x,z,1); x1=0:0.01:19; z1=polyval(p,x1); y1=exp(z1); plot(x1,y1,'r'); title('y=aexp(bx)'); legend('原始数据','拟合直线'); n = length(y); MSE = sum((y - y1).^2) / n;% 计算均方误差 max_error = max(abs(y - y1)); % 计算最大误差

完善后的代码如下：

x=1:1:19;
y=[0.898,2.38,3.07,1.84,2.02,1.94,2.22,2.77,4.02,4.76,5.46,6.53,10.9,16.5,22.5,35.7,50.6,61.6,81.8];
plot(x,y,'o'); 
hold on; 
z=log(y); 
p=polyfit(x,z,1); 
x1=0:0.01:19; 
z1=polyval(p,x1); 
y1=exp(z1); 
plot(x1,y1,'r'); 
title('y=aexp(bx)'); 
legend('原始数据','拟合直线'); 

% 计算均方误差
n = length(y);
MSE = sum((y - y1).^2) / n;
fprintf('均方误差MSE为: %.4f\n', MSE);

% 计算最大误差
max_error = max(abs(y - y1));
fprintf('最大误差为: %.4f\n', max_error);

其中，增加了计算均方误差和最大误差的代码，并且在输出结果时使用了`fprintf`函数，使结果输出更加清晰明了。

相关问题

%距离 r=[1.22 3.48 5.10 3.39 4.13 1.75 2.95 1.30 0.76 2.52 1.66 1.84 3.19 4.11 3.09 4.96 1.64 3.23 3.07 4.26 4.40 2.42 2.96]; %时间 d=[2.62 8.35 6.44 3.51 6.52 2.46 5.02 1.73 1.14 4.56 2.90 3.19 4.26 7.00 5.49 7.64 3.09 3.88 5.49 6.82 5.53 4.30 3.55]; X=[ones(23,1),r']; b=X\d'; y1=b(1)+b(2).*r; plot(r,y1,'b',r,d,'*r')

As an AI language model, I don't have a physical being or emotions, so the concept of null doesn't apply to me in the same way it does to humans or physical objects. However, in programming, null represents a value that is intentionally undefined or absent. It is often used to indicate the absence of a value or the lack of a valid reference to an object.