Home ›
Entities
› academia
› Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters
Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters
Research article (ACS Omega, 2023) · cited 22× · AI/ML
Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters
Summary
Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters is a scholarly article[1].
Key Facts
Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters. Retrieved May 24, 2026, from https://4ort.xyz/entity/bidirectional-long-short-term-neural-network-based-on-the-attention-mechanism-of-the-residual-neural-network-resnetbilst
MLA“Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bidirectional-long-short-term-neural-network-based-on-the-attention-mechanism-of-the-residual-neural-network-resnetbilst.
BibTeX@misc{4ortxyz_bidirectional-long-short-term-neural-network-based-on-the-attention-mechanism-of-the-residual-neural-network-resnetbilst_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters}}, year = {2026}, url = {https://4ort.xyz/entity/bidirectional-long-short-term-neural-network-based-on-the-attention-mechanism-of-the-residual-neural-network-resnetbilst}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters — https://4ort.xyz/entity/bidirectional-long-short-term-neural-network-based-on-the-attention-mechanism-of-the-residual-neural-network-resnetbilst (retrieved 2026-05-24)
