Continual learning is applied to neural networks to incrementally improve performance estimation accuracy for feedback-based molecular communication protocols during sequential simulation experiments.
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Continual Learning of Feedback-based Molecular Communication
Continual learning is applied to neural networks to incrementally improve performance estimation accuracy for feedback-based molecular communication protocols during sequential simulation experiments.