Intelligent forecasting model for aquatic production based on artificial neural network
Accurate forecasting of aquatic production is critical for sustainable fisheries management. In this study, four neural network models, namely Back Propagation (BP) neural network, BP neural networks optimized by Genetic Algorithms (GA-BP), Long Short-Term Memory neural networks (LSTM), and Radial B...
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| Main Authors: | Junqiao Hu, Jingyu Yin, Chaohui Yang, Yanxi Zhou, Changqing Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2025.1556294/full |
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