Home ›
Entities
› academia
› Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor
Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor
Research article (Fatigue & Fracture of Engineering Materials & Structures, 2020) · cited 49× · AI/ML
Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor
Summary
Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor is a scholarly article[1].
Key Facts
Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor'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). Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-hybridized-adaptive-neurofuzzy-inference-system-models-based-particle-swarm-optimization-and-genetic-algorithms-fo
MLA“Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-hybridized-adaptive-neurofuzzy-inference-system-models-based-particle-swarm-optimization-and-genetic-algorithms-fo.
BibTeX@misc{4ortxyz_novel-hybridized-adaptive-neurofuzzy-inference-system-models-based-particle-swarm-optimization-and-genetic-algorithms-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor}}, year = {2026}, url = {https://4ort.xyz/entity/novel-hybridized-adaptive-neurofuzzy-inference-system-models-based-particle-swarm-optimization-and-genetic-algorithms-fo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor — https://4ort.xyz/entity/novel-hybridized-adaptive-neurofuzzy-inference-system-models-based-particle-swarm-optimization-and-genetic-algorithms-fo (retrieved 2026-05-24)
