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Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
Transfer learning entails taking an artificial neural network (ANN) that is trained on a source dataset and adapting it to a new target dataset.
A Hybrid Algorithm for Metaheuristic Optimization
We propose a novel, flexible algorithm for combining together metaheuristicoptimizers for non-convex optimization problems.
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