An Improving Recognition Accuracy of Underwater Acoustic Targets based on Gated Recurrent Unit(GRU) Neural network Method
Author:
Affiliation:
1. Sri Sai Ram Institute of Technology,Department of Computer Science and Engineering,India
2. Sri Sairam Engineering College,Department of Computer Science and Engineering,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10040259/10040268/10040289.pdf?arnumber=10040289
Reference16 articles.
1. Deep Learning Methods for Underwater Target Feature Extraction and Recognition
2. Music type classification by spectral contrast feature;dn;Proceedings of International Conference on Multimedia and Expo,2002
3. Backpropagation through time: what it does and how to do it
4. Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks
5. A Deep Learning Classification Method for Passive Underwater Acoustic Target Based on MFCC Feature;yang;Ship Science and Technology,2020
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