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What is Optimize ML Models with Genetic Algorithm about?

This study presents a genetic algorithm-based optimization methodology for designing machine learning models, specifically deep neural networks (DNN) and adaptive neuro-fuzzy inference systems (ANFIS). The approach aims to enhance model architecture and feature configuration by minimizing the mean squared error (MSE) in predicting the fracture energy of polymer/nanoparticles composites. Results indicate that the optimized DNN model outperforms traditional models in prediction accuracy and efficiency.

Author

euiz2739

Language

EN