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CNN-LSTM model optimized by improved sparrow search algorithm for oil well production prediction

Rongjun Zhang1,2, Liming Guo3, Jian Sun3,4

  • 1School of Petroleum Engineering, Xi'an Shiyou University, Xi'an, 710065, China. rjzhang1105@163.com.

Scientific Reports
|March 19, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Convolutional neural networkImproved sparrow search algorithmLong short-term memorySingle-well production predictionTime series

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Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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