Custom Fit - Error Functions
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Hi All,
So I am trying to fit a series of error functions, and it is not coming up with viable answers. I am using simulated data that I know fits error functions, but the answers it is coming up with are worse fits than linear.
The code I have for the fit is, where N is the number of error functions, and X and Y are the data (Y is normalized). It's not throwing any errors, just the fit is terrible, and it does not seem to be going about it correctly (my initial guesses are better than its result):
%construct equation string
expression = '';
coefficients = {};
for index = 1:N
expression = [expression, '(1/2)*(1+erf( (x-mu', num2str(index) ,').^2 / sqrt(2*sigma', num2str(index), '.^2) )) +'];
coefficients = [coefficients {['mu', num2str(index)]} {['sigma', num2str(index)]}];
end
%cut off the last + sign
expression(end) = [];
%construct reasonable initial values by dividing the span up evenly
span = max(X) - min(X);
mu0 = min(X) + (span/N * (1/2):1:(N-1/2));
sigma0 = span/(2*N);
startpoint = zeros(1,2*N); %initial guess
LB = zeros(1,2*N); %lower bounds
UB = zeros(1,2*N); %upper bounds
for index = 1:N
startpoint(2*index-1) = mu0(index);
startpoint(2*index) = sigma0;
LB(2*index-1) = min(X);
LB(2*index) = span*10^-5;
UB(2*index-1) = max(X);
UB(2*index) = 2*span;
end
%fit
f = fittype(expression, 'coefficients', coefficients, 'independent', {'x'}, 'dependent', {'y'});
[fitobj, gof] = fit(X,Y,f, 'StartPoint', startpoint, 'Lower', LB, 'Upper', UB);
rmserror = gof.rmse;
rsquared = gof.rsquare;
%to debug
figure;
plot(X,Y, 'o');
hold on;
plot(X,fitobj(cdfx), 'Color', 'red' , 'LineWidth', 1.5)
hold off
When I use the curve fit toolbox, it also has difficulty with this fit. I have attached some data you can use for X and Y (X is first column, Y is second).
Thanks for any help!
1 Kommentar
Erik Schiferle
am 10 Aug. 2020
Hi,
Any chance you could send your example data to me. And both exponents were supposed to be taken out? I'm trying to do something very similar
Antworten (1)
Darin
am 7 Mai 2014
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