DOAJ Open Access 2026

Study on the rapid prediction method of regional acoustic propagation fields using deep neural networks

Chuxiong Wang Cheng Chen Xiao Feng Bing Yue Minghui Li

Lihat Sumber DOI

Abstrak

This study introduces a convolutional neural network based method for rapid prediction of underwater acoustic propagation fields, addressing the high computational cost of traditional methods. By analyzing regional terrain features and constructing a training dataset, the model learns acoustic transmission loss patterns across various terrain conditions. Tests in the Western Pacific demonstrate a root mean square error of 3.48 dB for non-smoothed fields, with an average prediction time of 1.95 ms per batch (10 samples). This method highlights the potential for fast acoustic propagation predictions using simplified inputs, offering a promising direction for real-time applications.

Topik & Kata Kunci

Acoustics. Sound

Penulis (5)

Chuxiong Wang

Cheng Chen

Xiao Feng

Bing Yue

Minghui Li

Format Sitasi

APA MLA BibTeX

Wang, C., Chen, C., Feng, X., Yue, B., Li, M. (2026). Study on the rapid prediction method of regional acoustic propagation fields using deep neural networks. https://doi.org/10.1121/10.0041783

Akses Cepat

Lihat di Sumber doi.org/10.1121/10.0041783

Informasi Jurnal

Tahun Terbit: 2026
Sumber Database: DOAJ
DOI: 10.1121/10.0041783
Akses: Open Access ✓