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Machine Learning Approaches for Prediction of the Compressive Strength of Alkali Activated Termite Mound Soil

机译：用于预测碱活性白蚁土壤抗压强度的机器学习方法

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Assia Aboubakar Mahamat; Moussa Mahamat Boukar; Nurudeen Mahmud Ibrahim; Tido Tiwa Stanislas; Numfor Linda Bih; Ifeyinwa Ijeoma Obianyo; Holmer Savastano;
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1. MLR & ANN approaches for prediction of compressive strength of alkali activated EAFS [J] . Ozturk Murat, Cansiz Omer F., Sevim Umur K., Computers & Concrete . 2018,第5期

机译：MLR和ANN方法预测碱活化EAFS的抗压强度
2. Applying several machine learning approaches for prediction of unconfined compressive strength of stabilized pond ashes [J] . Neural computing & applications . 2020,第13期

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3. Compressive Strength of Sandy Soils Stabilized with Alkali-Activated Volcanic Ash and Slag [J] . Nader Shariatmadari, Hadi Hasanzadehshooiili, Pooria Ghadir, Journal of materials in civil engineering . 2021,第11期

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4. Prediction of Compressive Strength of Ultra-High-Performance Concrete Using Machine Learning Algorithms-SFS and ANN [C] . Deepak Choudhary, Jaishanker Keshari, Imran Ahmed Khan International Conference on Computational Intelligence and Communication Technology . 2021

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5. Prediction of 28-day compressive strength of concrete using relevance vector machines (RVM). [D] . Owusu Twumasi, Jones. 2013

机译：使用相关矢量机（RVM）预测混凝土的28天抗压强度。
6. Alkali activation of compacted termite mound soil for eco-friendly construction materials [O] . Assia Aboubakar Mahamat, Ifeyinwa Ijeoma Obianyo, Blasuis Ngayakamo, 2021

机译：生态型建筑材料压实白蚁土壤的碱活化
7. Alkali activation of compacted termite mound soil for eco-friendly construction materials [O] . Assia Aboubakar Mahamat, Ifeyinwa Ijeoma Obianyo, Blasuis Ngayakamo, 2021

机译：生态型建筑材料压实白蚁土壤的碱活化
8. Generalized Approach to Soil Strength Prediction With Machine Learning Methods [R] . Semen, P. M. 2006

机译：机械学习法预测土体强度的广义方法

Machine Learning Approaches for Prediction of the Compressive Strength of Alkali Activated Termite Mound Soil

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