How to optimize a neural network using genetic algorithm?
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I've a trained NN with 7 input variables X (design parameters) and 1 output variable Y. I want to optimize this surrogate NN model, preferably using the Optimization app. The process should give me the optimized values of the 7 design parameters X, which will lead to minimum Y. Is there a way to do that?
Please advise.
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Sam Chak
el 19 de Sept. de 2023
Please correct me if I have misunderstood your problem:
The NN model was trained with a fixed dataset consisting of an array of seven (7) inputs, denoted as X, and a corresponding output vector Y.
Your objective is to identify the set of 7 inputs, X, that yield the minimum value of Y from the dataset, regardless of the specific NN model used.
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