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ex
- 一个简单的matlab非线性拟合例子,使用了matlab提供的nlinfit函数.
A-least-squares-fit
- matlab最小二乘原理下的曲线拟合方法汇总：polyfit函数、“\”命令、fminsearch函数、nlinfit函数。附上一个具体的例子：1900-2000年的总人口情况的曲线拟合。-matlab principle of least squares curve fitting method Summary: polyfit function, " \" command, fminsearch a function, nlinfit function. Attach a
demo
- oefEsts2 = nlinfit(time, log(conc), @(p,x)log(modelFun(p,x)), startingVals); line(xgrid, modelFun(coefEsts2, xgrid), 'Color',[0 .5 0]); legend({'Raw Data' 'Additive Errors Model' 'Multiplicative Errors Model'});
randcanto2r
- oefEsts2 = nlinfit(time, log(conc), @(p,x)log(modelFun(p,x)), startingVals); 0]); legend({'Raw Data' 'Additive Errors Model' 'Multiplicative Errors Model'});
ww
- oefEsts2 = nlinfit(time, log(conc), @(p,x)log(modelFun(p,x)), startingVals); line(xgrid, modelFun(coefEsts2, xgrid), 'Color',[0 .5 0]); legend({'Raw Data' 'Additive Errors Model' 'Multiplicative Errors Model'});
data fitting
- 掌握Matlab两个函数lsqcurvefit和nlinfit的用法； 掌握Matlab拟合工具箱cftool的使用； 编写非线性拟合函数。(Grasp the use of Matlab two functions lsqcurvefit and nlinfit; Grasp the use of Matlab fitting toolbox cftool; Compiling nonlinear fitting function.)