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Refinado por: assunto: Root-Mean-Square Errors remover
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1
Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination
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Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination

Pham, Binh Thai ; Nguyen-Thoi, Trung ; Ly, Hai-Bang ; Nguyen, Manh Duc ; Al-Ansari, Nadhir ; Tran, Van-Quan ; Le, Tien-Thinh

Sustainability, 2020, Vol.12 (6), p.2339 [Periódico revisado por pares]

Basel: MDPI AG

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2
Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network
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Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network

Tran, Van Quan Liu, Wei ; Wei Liu

Advances in Civil Engineering, 2021, Vol.2021, p.1-8

New York: Hindawi

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3
Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network
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Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network

Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Mai, Hai-Van Thi ; Tran, Van Quan Wang, Hainian ; Hainian Wang

Advances in materials science and engineering, 2020, Vol.2020, p.1-8 [Periódico revisado por pares]

New York: Hindawi

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4
Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill
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Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill

Tran, Van Quan

Sustainability, 2023-02, Vol.15 (4), p.2892 [Periódico revisado por pares]

Basel: MDPI AG

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5
Selection of single machine learning model for designing compressive strength of stabilized soil containing lime, cement and bitumen
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Selection of single machine learning model for designing compressive strength of stabilized soil containing lime, cement and bitumen

Tran, Van Quan

Journal of intelligent & fuzzy systems, 2023-01, Vol.45 (1), p.239-256 [Periódico revisado por pares]

Amsterdam: IOS Press BV

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6
Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm
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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm

Tran, Van Quan Yan, Xiaoan ; Xiaoan Yan

Complexity (New York, N.Y.), 2022, Vol.2022, p.1-18 [Periódico revisado por pares]

Hoboken: Hindawi

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7
Developing random forest hybridization models for estimating the axial bearing capacity of pile
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Developing random forest hybridization models for estimating the axial bearing capacity of pile

Pham, Tuan Anh ; Tran, Van Quan Mumtaz, Wajid

PloS one, 2022-03, Vol.17 (3), p.e0265747-e0265747 [Periódico revisado por pares]

United States: Public Library of Science

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8
Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
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Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Nguyen, Quang Hung ; Ly, Hai-Bang ; Ho, Lanh Si ; Al-Ansari, Nadhir ; Le, Hiep Van ; Tran, Van Quan ; Prakash, Indra ; Pham, Binh Thai Shen, Yu-Sheng ; Yu-Sheng Shen

Mathematical problems in engineering, 2021, Vol.2021, p.1-15 [Periódico revisado por pares]

New York: Hindawi

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9
Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity
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Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity

Pham, Tuan Anh ; Tran, Van Quan ; Vu, Huong-Lan Thi ; Ly, Hai-Bang Son, Le Hoang

PloS one, 2020-12, Vol.15 (12), p.e0243030-e0243030 [Periódico revisado por pares]

United States: Public Library of Science

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10
Developing interpretable machine learning-Shapley additive explanations model for unconfined compressive strength of cohesive soils stabilized with geopolymer
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Developing interpretable machine learning-Shapley additive explanations model for unconfined compressive strength of cohesive soils stabilized with geopolymer

Ngo, Anh Quan ; Nguyen, Linh Quy ; Tran, Van Quan Ekinci, Abdullah

PloS one, 2023-06, Vol.18 (6), p.e0286950-e0286950 [Periódico revisado por pares]

United States: Public Library of Science

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