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Bayesian Optimization for discrete hyperparameters in NARX model

Still an ongoing project for discrete hyperparameter tuning of an Artificial Neural Network (ANN) with Bayesian Optimization (BO), where the number of nodes and number of input and output samples are being optimized for prediction and simulation error. Why this project? This project is purely for educational purposes and to learn how to use BO ...

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