用matlab使用y = -a*exp(-b*(x-t)^2) 去拟合下面数据x = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]; y = [15,14,14,14,14,15,16,18,20,22,23,25,28,31,32,31,29,27,25,24,22,20,18,17,16]; 并且绘制出拟合图像

可以回答这个问题。以下是使用 Matlab 拟合数据并绘制图像的代码：

% 定义数据
x = [,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24];
y = [15,14,14,14,14,15,16,18,20,22,23,25,28,31,32,31,29,27,25,24,22,20,18,17,16];

% 定义拟合函数
fun = @(a,b,t,x) -a*exp(-b*(x-t).^2);

% 初始参数估计
a = 30;
b = .1;
t = 10;

% 拟合数据
fit = fitnlm(x, y, fun, [a, b, t]);

% 绘制拟合图像
xx = linspace(, 24, 100);
yy = predict(fit, xx');
plot(x, y, 'o', xx, yy);

拟合图像如下所示：