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Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils
Research article (Case Studies in Construction Materials, 2023) · cited 13× · AI/ML
Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils
Summary
Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils is a scholarly article[1].
Key Facts
Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-california-bearing-ratio-and-modified-proctor-parameters-using-deep-neural-networks-and-multiple-linear-re
MLA“Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-california-bearing-ratio-and-modified-proctor-parameters-using-deep-neural-networks-and-multiple-linear-re.
BibTeX@misc{4ortxyz_prediction-of-california-bearing-ratio-and-modified-proctor-parameters-using-deep-neural-networks-and-multiple-linear-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-california-bearing-ratio-and-modified-proctor-parameters-using-deep-neural-networks-and-multiple-linear-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils — https://4ort.xyz/entity/prediction-of-california-bearing-ratio-and-modified-proctor-parameters-using-deep-neural-networks-and-multiple-linear-re (retrieved 2026-05-24)
