Home ›
Entities
› academia
› A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study
Research article (Soft Computing, 2023) · cited 19× · AI/ML
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study
Summary
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study is a scholarly article[1].
Key Facts
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study'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). A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-feed-through-elman-neural-network-for-predicting-the-compressive-and-flexural-strengths-of-eco-friendly-jarosite
MLA“A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-feed-through-elman-neural-network-for-predicting-the-compressive-and-flexural-strengths-of-eco-friendly-jarosite.
BibTeX@misc{4ortxyz_a-novel-feed-through-elman-neural-network-for-predicting-the-compressive-and-flexural-strengths-of-eco-friendly-jarosite_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-feed-through-elman-neural-network-for-predicting-the-compressive-and-flexural-strengths-of-eco-friendly-jarosite}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study — https://4ort.xyz/entity/a-novel-feed-through-elman-neural-network-for-predicting-the-compressive-and-flexural-strengths-of-eco-friendly-jarosite (retrieved 2026-05-24)