Showing 1 - 20 results of 21 for search '"mean squared error"', query time: 0.25s Refine Results
  1. 1
    A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
    “... squared error (RMSE), and area under the receiver operating characteristic curve (AUC). Furthermore...”
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    Article
  2. 2
    A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
    “... metrics such as mean absolute error (MAE), root mean squared error (RMSE), correlation coefficient (R...”
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    Article
  3. 3
    Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
    “... predictive value (PPV), specificity, root-mean-squared error (RMSE), accuracy, and area under the receiver...”
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    Article
  4. 4
    Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
    “... such as Area under the Receiver Operating Characteristics (ROC) curve (AUC), Mean Square Error (MSE), Root Mean...”
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    Article
  5. 5
    Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models
    “... to ensure that flooded areas were detected correctly. Root mean square error, accuracy, and the area under...”
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    Article
  6. 6
    Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
    “... using different quantitative (root mean square error (RMSE), mean absolute error (MAE), coefficient...”
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    Article
  7. 7
    Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and its Ensembles in a Semi-Arid Region of Iran
    “..., including sensitivity, specificity, accuracy, kappa, root mean square error (RMSE), and area under...”
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    Article
  8. 8
    Assessment of DSM Based on Radiometric Transformation of UAV Data
    “... Mean Square Error (RMSE) value of Z is enhanced from ±2.15 meters to 0.11 meters. For local accuracy...”
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    Article
  9. 9
    Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
    “... sensitivity, specificity, accuracy, kappa, root mean square error (RMSE), and area under the receiver...”
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    Article
  10. 10
    Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
    “... predictive value, negative predictive value, sensitivity, specificity, accuracy, root mean square error...”
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    Article
  11. 11
    Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
    “... index, and root mean square error. Results indicated that the BKLR ensemble model outperformed...”
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    Article
  12. 12
    Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
    “... square error (RMSE) indicated that only 16.3% error exists, which is fairly acceptable. The validation...”
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    Article
  13. 13
    Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
    “..., sensitivity, specificity, accuracy, mean absolute error (MAE), root mean square error (RMSE), and the area...”
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    Article
  14. 14
    New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
    “..., root-mean-square error (RMSE) and receiver operating characteristic (ROC) curve (area under the ROC...”
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    Article
  15. 15
    New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
    “..., root mean square error (RMSE), and area under the receiver operatic characteristic curve (AUC), were...”
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    Article
  16. 16
    Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
    “... processes. Model validation was performed using sensitivity, specificity, accuracy, the root mean square...”
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    Article
  17. 17
    Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
    “... including sensitivity, specificity, accuracy, mean absolute error (MAE), root mean square error (RMSE...”
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    Article
  18. 18
    Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
    “.... Statistical metrics include sensitivity, specificity accuracy, root mean square error (RMSE), and area under...”
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    Article
  19. 19
    A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
    “...), sensitivity, specificity accuracy, root mean square error (RMSE), and the area under the receiver operating...”
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    Article
  20. 20
    Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
    “...-square error (RMSE). The experiments demonstrated that the obtained results of modelling process from...”
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    Article
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