Parameter estimation with more data sets
显示 更早的评论
Hi,
Is it possible to do a parameter estimation using 2 or 3 data sets? I have 3 models which differ in one parameter, say T. Right now, I do the fits for each data set and the corresponding model and then compare the results. Can I do a parameter estimation which considers all three data sets and the 3 variants, and outputs only one set of optimized parameters?
Regards,
Razvan
采纳的回答
Arthur Goldsipe
2011-5-5
Hi Razvan,
Here's additional information on how you can fit simulations to the same data set using lsqnonlin. You can also find several lsqnonlin/lsqcurvefit examples in the Optimization Toolbox documentation: http://www.mathworks.com/help/toolbox/optim/ug/brn4noo.html#brp3l6v-1
You will also probably want to read more about using the SimBiology command-line. In particular, I recommend reading about variants, as that is a convenient way to modify parameter values for various simulations. If performance is an issue, then also read about the sbioaccelerate command.
Here's an outline of what your regression function might look for lsqnonlin.
function residuals = simulate(pEstimates, model, pVariant, tVariants)
% pEstimates is a vector of of the current parameter estimates
% model is a SimBiology model
% pVariant is a variant for setting the parameters on the model
% tVariant is a vector of variants, one for each value of T
% Update pVariant with the current estimates (in pEstimates)
% For each tVariant, simulate the model using this variant AND pVariant
% Resample the simulation data to the observed times
% Calculate the residual for each observation
更多回答（2 个）
Jarrod Rivituso
2011-4-26
0 个投票
Are you referring to parameter estimation tasks with Simulink models?
If so, I believe it is. You just add each data set under "Transient Data", and then when you start a new Estimation, you can select all of the data sets in the "Data Sets" tab.
Arthur Goldsipe
2011-4-27
0 个投票
Hi Razvan,
sbioparamestim only allows you to estimate one set of parameters using one set of data. I think the easiest way to simultaneously fit all the data sets would be to write your own regression function for use with a general fitting function (such as lsqcurvefit). Are you also trying to estimate the parameter T, or is that known in advance? Either way, you should be able to write an appropriate regression function.
-Arthur
2 个评论
Razvan
2011-4-27
Arthur Goldsipe
2011-5-5
Hi Razvan,
Sorry I didn't see your reply sooner. I'll post additional ideas as a separate answer below.
-Arthur
类别
在 帮助中心 和 File Exchange 中查找有关 Import Data 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
