Model from data and optimization
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Hi everyone, I have a set of data from FEM simulations, I need to generate a mathematical model from them and after that find optimal value for at less 9 different variables. I am looking at optimization problems but looks like this aproach first requiere knowing the equation or the relationship between variables, and for neurnal network aproach, after trying the model I will need to put the values for the variables to predict the outcome, but is not the idea. I will really appreciate any help, thanks.
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