搜索资源列表
nlinfit
- 非线性最小二乘算法，矩阵和向量类为自己编写，用数组代替也可以-nonlinear least-squares algorithm, matrix and vector category for their preparation, with the array can be replaced
ex
- 一个简单的matlab非线性拟合例子,使用了matlab提供的nlinfit函数.
nlinfit
- 非线性最小二乘法,L-M算法，单精度。可用于学习，科研
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
2014-2
- 非线性回归的一个例子，用最小二乘法和NLINFIT编写。-An example of non-linear regression, using the least squares method and NLINFIT writing.
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.)
nlinfit+regress_data fitting
- 对农作物六种经典水分生产函数模型的相关数据进行拟合求函数中参数(Fitting the parameters of the six classical crop water production function models by fitting the related data)