Research on Seismic P - wave Identification Method Based on Convolutional Neural Network Optimized by RLPSO Algorithm
1. School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China;
2. State Key Laboratory of Submarine Geoscience, Hangzhou 310012, China;
3. Second Institute of Oceanography, Hangzhou 310012, China;
4. Guodian Electric Power Zhejiang Zhoushan Offshore WindPower Development Co.,Ltd, Zhoushan 316000, China
Received date: 2025-03-11
Revised date: 2025-04-11
Accepted date: 2025-04-18
Online published: 2025-04-18
Supported by
National Key R&D Program of
China(2022YFC3003802); the Research Fund of the Key Laboratory of Marine Observation Technology,
Ministry of Natural Resources(2024klootA11); the Open Fund of the Key Laboratory of Submarine
Geoscience, Ministry of Natural Resources(KLSG2409)
WANG Luowen YANG Zerong WEN Yongpeng ZHU Xinke YAN Bo QIN Huawei . Research on Seismic P - wave Identification Method Based on Convolutional Neural Network Optimized by RLPSO Algorithm[J]. Journal of Tropical Oceanography, 0 : 1 . DOI: 10.11978/2025041
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