Innovative Design of English Teaching Mode for Water Resources Majors Based on Smoothed Long and Short-Term Memory Network Models

Publié en ligne: 11 nov. 2023

Reçu: 15 févr. 2023

Accepté: 22 mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01079

Mots clés

Feature engineering, LSTM networks, Articulatory features, Water resources majors, English language teaching

© 2023 Qi Li, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.