Home ›
Entities
› academia
› Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil
Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil
Research article (Mathematical Problems in Engineering, 2021) · cited 20× · AI/ML
Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil
Summary
Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil is a scholarly article[1].
Key Facts
Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil'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). Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil. Retrieved May 24, 2026, from https://4ort.xyz/entity/evolution-of-deep-neural-network-architecture-using-particle-swarm-optimization-to-improve-the-performance-in-determinin
MLA“Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evolution-of-deep-neural-network-architecture-using-particle-swarm-optimization-to-improve-the-performance-in-determinin.
BibTeX@misc{4ortxyz_evolution-of-deep-neural-network-architecture-using-particle-swarm-optimization-to-improve-the-performance-in-determinin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil}}, year = {2026}, url = {https://4ort.xyz/entity/evolution-of-deep-neural-network-architecture-using-particle-swarm-optimization-to-improve-the-performance-in-determinin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil — https://4ort.xyz/entity/evolution-of-deep-neural-network-architecture-using-particle-swarm-optimization-to-improve-the-performance-in-determinin (retrieved 2026-05-24)