Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network

Research article (Engineering Structures, 2022) · cited 84× · AI/ML
Press Enter · cited answer in seconds

Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network

Summary

Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network is a scholarly article[1].

Key Facts

  • Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/torsional-capacity-evaluation-of-rc-beams-using-an-improved-bird-swarm-algorithm-optimised-2d-convolutional-neural-netwo
MLA “Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/torsional-capacity-evaluation-of-rc-beams-using-an-improved-bird-swarm-algorithm-optimised-2d-convolutional-neural-netwo.
BibTeX @misc{4ortxyz_torsional-capacity-evaluation-of-rc-beams-using-an-improved-bird-swarm-algorithm-optimised-2d-convolutional-neural-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/torsional-capacity-evaluation-of-rc-beams-using-an-improved-bird-swarm-algorithm-optimised-2d-convolutional-neural-netwo}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network — https://4ort.xyz/entity/torsional-capacity-evaluation-of-rc-beams-using-an-improved-bird-swarm-algorithm-optimised-2d-convolutional-neural-netwo (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/torsional-capacity-evaluation-of-rc-beams-using-an-improved-bird-swarm-algorithm-optimised-2d-convolutional-neural-netwo · Last refreshed: