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Artificial Neural Network Hyperparameter Effectiveness Determination And Optimization Algorithm
Machine learning models can contain many layers and branches. Each branch and layer, contain individual variables, know as hyperparameters, that require manual tuning. For instance, the genetic algorithm designed by Unit Amin  was designed to mimic the reproductive process of living organisms. The genetic algorithm and the Artificial Neural Network (ANN) training processes contain inherent randomness that reduces the replicability of results. Combined with the sheer magnitude ofdoi:10.32920/ryerson.14635770 fatcat:sfg3q34ly5chhcdyqm3c6bxwa4