Recurrent Neural Integration
Recurrent Neural Integration is a computational framework within neural network modeling that integrates information across sequential inputs by employing recurrent connections, enabling dynamic state maintenance and temporal dependency learning in contrast to feedforward integration mechanisms.
73
Publications
4.5K
Citations
274
Authors
133
Institutions
Publications per year
2017–2026
45
Parents
73
Oil well production prediction based on CNN-LSTM model with self-attention mechanism
Shaowei Pan, Bo Yang, Shukai Wang et al. · Energy · 2023 · 205 citations
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Australian National University
Canberra, Australia
4 h-index
4 publications
257 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
6 publications
581 citations
Wuhan National Laboratory for Optoelectronics
Wuhan, China
2 h-index
10 publications
410 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
4 publications
83 citations
Tongji University
Shanghai, China
2 h-index
4 publications
125 citations

China Three Gorges University
Yichang, China
2 h-index
10 publications
1.1K citations
University of Science and Technology of China
Hefei, China
2 h-index
9 publications
672 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
9 publications
512 citations
1–8 of 133
4 publications · 257 citations
4
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3 publications · 231 citations
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2 publications · 159 citations
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2 publications · 134 citations
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ESPR · 2 publications · 262 citations
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1–5