most citedDeep learning approaches for nuclear binding energy prediction: a comparative study of RNN, GRU and LSTM Models

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nucl-th2025★ 1 cited

Deep learning approaches for nuclear binding energy prediction: a comparative study of RNN, GRU and LSTM Models

Amir Jalili, Feng Pan, Ai Xi Chen +1

This study investigates the application of deep learning models-recurrent neural networks, gated recurrent units, and long short-term memory networks-for predicting nuclear binding…