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Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches
Research article (Journal of Building Pathology and Rehabilitation, 2024) · cited 16× · AI/ML
Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches
Summary
Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches is a scholarly article[1].
Key Facts
Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/soft-computing-techniques-for-predicting-the-compressive-strength-properties-of-fly-ash-geopolymer-concrete-using-regres
MLA“Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/soft-computing-techniques-for-predicting-the-compressive-strength-properties-of-fly-ash-geopolymer-concrete-using-regres.
BibTeX@misc{4ortxyz_soft-computing-techniques-for-predicting-the-compressive-strength-properties-of-fly-ash-geopolymer-concrete-using-regres_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches}}, year = {2026}, url = {https://4ort.xyz/entity/soft-computing-techniques-for-predicting-the-compressive-strength-properties-of-fly-ash-geopolymer-concrete-using-regres}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches — https://4ort.xyz/entity/soft-computing-techniques-for-predicting-the-compressive-strength-properties-of-fly-ash-geopolymer-concrete-using-regres (retrieved 2026-05-24)
