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

Online veröffentlicht: 11. Nov. 2023

Eingereicht: 15. Feb. 2023

Akzeptiert: 22. Mai 2023

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

Schlüsselwörter

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.