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Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression
Research article (Asian Journal of Civil Engineering, 2022) · cited 55× · AI/ML
Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression
Summary
Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression is a scholarly article[1].
Key Facts
Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-concrete-compressive-strength-with-ggbfs-and-fly-ash-using-multilayer-perceptron-algorithm-random-forest-r
MLA“Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-concrete-compressive-strength-with-ggbfs-and-fly-ash-using-multilayer-perceptron-algorithm-random-forest-r.
BibTeX@misc{4ortxyz_prediction-of-concrete-compressive-strength-with-ggbfs-and-fly-ash-using-multilayer-perceptron-algorithm-random-forest-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-concrete-compressive-strength-with-ggbfs-and-fly-ash-using-multilayer-perceptron-algorithm-random-forest-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression — https://4ort.xyz/entity/prediction-of-concrete-compressive-strength-with-ggbfs-and-fly-ash-using-multilayer-perceptron-algorithm-random-forest-r (retrieved 2026-05-24)
