Showing 1 - 20 results of 26 for search '"mean squared error"', query time: 0.23s Refine Results
  1. 1
    Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network
    “... correlation coefficient (R), root-mean-squared error (RMSE), and mean squared error (MAE) for the training...”
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    Article
  2. 2
    Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity.
    “... the coefficient of determination (R2), Index of Agreement (IA), mean absolute error (MAE) and root mean squared...”
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    Article
  3. 3
    Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
    “... (R), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE), the proposed method was validated...”
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    Article
  4. 4
    A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation
    “...>), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). To analyze the sensitivity...”
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    Article
  5. 5
    Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete
    “...</sup>), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) were used for validation of model...”
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    Article
  6. 6
    Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest
    “...), root mean squared error (RMSE), and the coefficient of determination (R<sup>2</sup>) were used...”
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    Article
  7. 7
    Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
    “.... Popular statistical indicators, such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE...”
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    Article
  8. 8
    Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt
    “... was evaluated thanks to criteria such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE...”
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    Article
  9. 9
    Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination
    “..., such as the correlation coefficient (R), root mean squared error (RMSE), and mean absolute error (MAE), were utilized...”
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    Article
  10. 10
    Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression
    “... of determination (R<sup>2</sup>), Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) were used...”
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    Article
  11. 11
    Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees
    “... such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and coefficient of determination (R<sup>2...”
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    Article
  12. 12
    Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections
    “... the correlation coefficient (R), the root mean squared error (RMSE), and the mean absolute error (MAE) were used...”
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    Article
  13. 13
    Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model
    “... in function of statistical measures such as the correlation coefficient (R), root mean square error (RMSE...”
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    Article
  14. 14
    Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle
    by Thuy-Anh Nguyen, Hai-Bang Ly, Binh Thai Pham
    Published 2020-01-01
    “... specific statistical criteria, such as the Pearson correlation coefficient (R), root mean square error...”
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    Article
  15. 15
    Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns
    “... the correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE). The selection...”
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    Article
  16. 16
    Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach
    by Hai-Bang Ly, Thuy-Anh Nguyen, Binh Thai Pham
    Published 2021-01-01
    “...), mean absolute error (MAE), and root mean square error (RMSE). The results demonstrated...”
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    Article
  17. 17
    A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns
    “..., the coefficient of determination (<i>R</i><sup>2</sup>), root mean square error (<i>RMSE</i>), and mean absolute...”
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    Article
  18. 18
    A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil
    “... of the models also indicated that RF-PSO model (R = 0.89 and Root Mean Square Error (RMSE) = 0.453) is superior...”
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    Article
  19. 19
    Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression
    “...%, 49.2%, and 6.5% for root mean square error (RMSE), mean absolute error (MAE), and R<sup>2</sup...”
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    Article
  20. 20
    On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams
    “... coefficient (R), root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error...”
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    Article
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