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Refinado por: Base de dados/Biblioteca: Hindawi Publishing Open Access remover
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1
Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network
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Artigo
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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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2
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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3
Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm
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Artigo
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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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4
Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
Material Type:
Artigo
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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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5
Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model
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Artigo
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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

Mai, Hai-Van Thi ; Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Tran, Van Quan Zhang, Junfei ; Junfei Zhang

Advances in Civil Engineering, 2021, Vol.2021, p.1-12

New York: Hindawi

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6
Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil
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Artigo
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Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil

Pham, Tuan Anh ; Tran, Van Quan ; Vu, Huong-Lan Thi Rajinikanth, Venkatesan ; Venkatesan Rajinikanth

Mathematical problems in engineering, 2021-05, Vol.2021, p.1-17 [Periódico revisado por pares]

New York: Hindawi

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7
Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams
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Artigo
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Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams

Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Tran, Van Quan Afan, Haitham ; Haitham Afan

Complexity (New York, N.Y.), 2021, Vol.2021, p.1-14 [Periódico revisado por pares]

Hoboken: Hindawi

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8
On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams
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Artigo
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On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams

Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Mai, Hai-Van Thi ; Tran, Van Quan Zhang, Zhen ; Zhen Zhang

Complexity (New York, N.Y.), 2021, Vol.2021, p.1-18 [Periódico revisado por pares]

Hoboken: Hindawi

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9
Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash
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Artigo
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Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash

Mai, Hai-Van Thi ; Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Tran, Van Quan Di Sarno, Luigi ; Luigi Di Sarno

Advances in materials science and engineering, 2021, Vol.2021, p.1-17 [Periódico revisado por pares]

New York: Hindawi

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10
Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns
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Artigo
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Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns

Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Mai, Hai-Van Thi ; Tran, Van Quan Peña, Antonio J. ; Antonio J Peña

Scientific programming, 2021, Vol.2021, p.1-8 [Periódico revisado por pares]

New York: Hindawi

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