curvefun = Inline function:curvefun(x,y) = x(1)*(y(1,:).^x(2)).*(y(2,:).^x(3))Maximum number of function evaluations exceeded;increase options.MaxFunEvals x = 0.0000 0.4803 2.2613 a = 7.9135e-006 alpha = 0.4803 beta = 2.2613 ...
plot(f,cdate,pop) The plot shows that the fitted curve closely follows the population data.Fit a Polynomial Surface Copy Code Copy Command Load the franke sample data set. Get load franke The vectors x, y, and z contain data generated from Franke's bivariate test function, with added no...
(xdata, ydata, 'r*'); hold on plot(xdata,fit_y,'b-'); xlabel('t'); ylabel('y'); legend('观测数据点','拟合曲线', 'Location', 'northwest'); saveas(gcf,sprintf('Logistic曲线.jpg'),'bmp'); %% Logistic函数 % y=A/(1+B*exp(-C*t)) function f=fun(X,t) f=X(1)./(1...
legend('原始数据','6阶曲线') 3.一般的曲线拟合:curvefit() 调用格式:p=curvefit(‘Fun’,p0,x,y) 说明:Fun:表示函数Fun(p,data)的M函数文件; x,y:将要拟合的数据,用数组的方式输入; p0:表示函数待拟合参数的初值; 4.自定义函数拟合:nlinfit() 调用格式:[beta,r,J]=nlinfit(x,y,’fun’,beta0...
作为第一篇正式的网文,本应写写自己的过去,现在和将来,可我却急于写写刚刚学到的matlab函数。。但是最重要的事情不能忘,我要把最开始的部分献给我的前女友,我爱你并在遥远的地方思念着你和我们的宝宝们。 ---分割线---very正经的--- 以前用Matlab进行曲线拟合就是直接用cftool。感觉很方便。今天想把拟合...
5 MATLAB实现非线性拟合——lsqcurvefit调用格式——lsqcurvefit(least-squares curve-fitting)1.最简单的格式：param=lsqcurvefit(fun, param0, xdata, ydata)2.为了便于理解，将help 里的 x / x0 使用param/ param0 替换 6 使用lsqcurvefit 实现非线性拟合的基本步骤1. 给定已知的数据 (x, y) 以及x y 之间...
Programmatic Curve Fitting To programmatically fit a curve, follow the steps in this simple example: Load some data. loadhahn1 Create a fit using thefitfunction, specifying the variables and a model type (in this caserat23is the model type). ...
3.一般的曲线拟合:curvefit() 调用格式: p=curvefit(‘Fun’,p0,x,y) 说明:Fun: 表示函数Fun(p,data)的M函数文件; x,y:将要拟合的数据,用数组的方式输入; p0: 表示函数待拟合参数的初值; 4.自定义函数拟合:nlinfit() 调用格式:[beta,r,J]=nlinfit(x,y,’fun’,beta0) ...
To check the quality of the fit, plot the data and the resulting fitted response curve. Create the response curve from the returned parameters of your model. A = bestx(1); lambda = bestx(2); yfit = A*exp(-lambda*tdata); plot(tdata,ydata,'*'); holdonplot(tdata,yfit,'r'); ...
Fit Polynomial to Trigonometric Function Generate 10 points equally spaced along a sine curve in the interval[0,4*pi]. x = linspace(0,4*pi,10); y = sin(x); Usepolyfitto fit a 7th-degree polynomial to the points. p = polyfit(x,y,7); ...