i have three input parameters namely 1.) value of deformation 2.) solid solution time 3.) aging time and for those we have two output parameters namely 4.) yield strength and 5.) tensile strength. Now i want to train the neural network using some of the experimentally obseerved data sets , so that after training it should be able to predict the 2 outputs for the given 3 inputs.
After completely training the neural network i want to find the values of the 3 inputs for which i can maximize both the outputs(i don't mean exact maxima, it's just comparetively high) using the 'gamultiobj'
Similarly i want to find the 3 inputs of the neural network such that i can actually try to minimize one of the output and minimize the other using the 'gamultiobj'
I have attached a research paper , i want to do the same thing in the matlab.. please go through it and help me do this thing
Thank you
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