How to do parameter estimation of a ODE based model through Global Optimization Toolbox?
1 回表示 (過去 30 日間)
古いコメントを表示
I have a ODE based model and a set of experimental data for my project. There are seven parameters (Constant) inside the model need to do parameter estimation through GA solver. My fitness function/Objective function will be sum of quadratic difference between simulated and experimental result.
I had saw someone proposed that " Implement your model, write a cost function, and use Optimization Toolbox to minimize this cost function by fitting parameters to have model output match the data." in the previous question.
Could anyone elaborate how to work with the method above or any tutorial on it? Thanks in advance!
0 件のコメント
回答 (1 件)
Shashank Prasanna
2014 年 7 月 11 日
More details on how you would go about fitting an ODE using optimization:
0 件のコメント
参考
カテゴリ
Help Center および File Exchange で Genetic Algorithm についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!